query stringclasses 30
values | image imagewidth (px) 64 64 | annot stringclasses 5
values | reasoning null | cate stringclasses 1
value | task stringclasses 1
value | metadata stringlengths 537 554 |
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A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.41, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.41, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1":... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.11, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1":... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.99, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1": ... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.71, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.23, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.65, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.21, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.01, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.11, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.95, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.03, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.35, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.08, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 7.91, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.938, "family_order": 0.0469, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1"... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.17, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.28, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.78, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.01, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.78, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.5, "family_order": 0.2751, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1": ... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.24, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.47, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.64, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 2.188, "family_order": 0.1094, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1"... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.14, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.11, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.24, "GMF2": 62.2, "fc1":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.23, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.995, "fs": 5120.0, "gear_lines": {"GMF1": 333.24, "GMF2": 62.21, "fc1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.61, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.4, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.24, "GMF2": 62.2, "fc1":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.82, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.24, "GMF2": 62.2, "fc1":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.77, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.24, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 4.91, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.0, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.938, "family_order": 0.0469, "file": "ball_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.82, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.82, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.995, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.31, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.125, "family_order": 0.0375, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.43, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.57, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.995, "fs": 5120.0, "gear_lines": {"GMF1": 499.92, "GMF2": 93.32, "fc1... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.49, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.8, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.25, "family_order": 0.2751, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1": ... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.11, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 10.82, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 12.03, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 12.18, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.84, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.92, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.98, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.87, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.11, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.79, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.37, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1"... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.14, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.07, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 13.04, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 13.74, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 13.29, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.65, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 9.125, "family_order": 0.3042, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.84, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.98, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.12, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.995, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.88, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.995, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.47, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 5.34, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1"... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | ball | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.14, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 1.062, "family_order": 0.0354, "file": "ball_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.32, "fc1... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.67, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 1.25, "family_order": 0.0625, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "nominal", "fr_used": 20.0, "fs": 5120.0, "gear_lines": {"GMF1": 333.33, "GMF2": 62.22, "fc1": 3... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.67, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 1.25, "family_order": 0.0625, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1": ... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.83, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 7.72, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.989, "fs": 5120.0, "gear_lines": {"GMF1": 333.16, "GMF2": 62.19, "fc1... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.15, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.2, "fc1"... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 7.65, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.991, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.19, "fc1... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.7, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 6.96, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.75, "family_order": 0.2876, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.991, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.19, "fc1"... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 10.65, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.99, "fs": 5120.0, "gear_lines": {"GMF1": 333.16, "GMF2": 62.19, "fc1... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.07, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.5, "family_order": 0.2751, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.991, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.19, "fc1":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 10.03, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.91, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.94, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.2, "fc1":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.73, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.27, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 10.69, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.991, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.2, "fc1... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.8, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.5, "family_order": 0.2751, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.24, "GMF2": 62.2, "fc1": 3... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.53, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.53, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 7.07, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.991, "fs": 5120.0, "gear_lines": {"GMF1": 333.19, "GMF2": 62.19, "fc1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.0, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 7.96, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2846, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.987, "fs": 5120.0, "gear_lines": {"GMF1": 333.11, "GMF2": 62.18, "fc1... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.71, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.5, "family_order": 0.2751, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1": 3... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.0, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 5.688, "family_order": 0.2845, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs": 5120.0, "gear_lines": {"GMF1": 333.23, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.3, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 2.375, "family_order": 0.1188, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.33, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 2.562, "family_order": 0.1282, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 10.83, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.2, "GMF2": 62.2, "fc1":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.38, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.24, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 12.56, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely bearing condition (health, inner_race, outer_race, ball, inner_outer_comb)? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 10.71, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.625, "family_order": 0.0313, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.993, "fs": 5120.0, "gear_lines": {"GMF1": 333.22, "GMF2": 62.2, "fc1... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 11.29, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_hz": 0.75, "family_order": 0.0375, "file": "comb_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.992, "fs": 5120.0, "gear_lines": {"GMF1": 333.21, "GMF2": 62.2, "fc1"... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the bearing from this image, choosing from: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.64, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "comb_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.993, "fs": 5120.0, "gear_lines": {"GMF1": 499.89, "GMF2": 93.31, "fc1... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Classify the bearing condition as one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 9.64, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "comb_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.993, "fs": 5120.0, "gear_lines": {"GMF1": 499.89, "GMF2": 93.31, "fc1... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 8.81, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "comb_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.995, "fs": 5120.0, "gear_lines": {"GMF1": 499.92, "GMF2": 93.32, "fc1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Based on the visible evidence, which condition applies: health, inner_race, outer_race, ball, inner_outer_comb? | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 7.88, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.562, "family_order": 0.2855, "file": "comb_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.91, "GMF2": 93.32, "fc1... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the bearing's health state. Answer with exactly one of: health, inner_race, outer_race, ball, inner_outer_comb. | inner_outer_comb | null | C | T-C1 | {"channel": "parallel_x", "computed_score": 12.02, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_hz": 8.25, "family_order": 0.2751, "file": "comb_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.994, "fs": 5120.0, "gear_lines": {"GMF1": 499.9, "GMF2": 93.31, "fc1"... |
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