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# FEMTO-ST Bearing Dataset for IIoT Machine Health Monitoring
## 📋 Dataset Description
This dataset contains **vibration sensor data from industrial bearings** for machine health monitoring and predictive maintenance applications. The data is derived from the FEMTO Bearing Dataset and includes both raw vibration signals and pre-extracted features for anomaly detection and remaining useful life (RUL) prediction.
### Dataset Summary
- **Total Size:** ~5.5 GB
- **Format:** Parquet (features) + CSV (raw data)
- **Features Files:** 2.2 GB (train: 455MB, validation: 934MB, test: 800MB)
- **Raw Data:** 3.3 GB (test: 1.49GB, training: 573MB, validation: 1.33GB)
- **Sample Files:** vibration_sample.csv (1KB)
- **License:** MIT
- **Last Updated:** October 2025
## 🎯 Intended Use
### Primary Tasks
- ✅ Anomaly detection in industrial machinery
- ✅ Remaining Useful Life (RUL) prediction
- ✅ Time-series forecasting and degradation modeling
- ✅ Unsupervised learning (Isolation Forest, Autoenco… -
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