Comprehensive Dataset for Fault Detection and Diagnosis in Inverter-Driven PMSM Systems

# New in Version 3.0 The dataset has been reorganized for improved accessibility and clarity:

• /code: Contains all source code (C++ and Python) for data acquisition and processing
• /metadata: Contains sensor specifications and fault definitions
• /processed_data: Contains the processed and derived features
• /raw_data: Contains:
  • Raw sensor measurements
  • Fault scenario data
  • Normal operation data
  • Thermistor calibration data
• /visualizations: Contains data visualization outputs

This dataset contains multi-sensor measurements from an inverter-driven PMSM system under various fault conditions. It includes: 

• 10,892 samples across 9 operational conditions
• 8 raw sensor measurements
• 15 derived features
• Data collected at 10 Hz sampling rate
•  Fault scenarios including open-circuit, short-circuit, and overheating conditions

 Keywords:

• PMSM
• Fault Detection
• Inverter Faults
• Motor Drive Systems
• Experimental Data
• Machine Learning