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