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