like belt looseness and insulation-related faults. Citation Information
If you are writing a paper using this data, use the following official reference from Elsevier/ScienceDirect: AC.zip
The dataset contains high-frequency sensor measurements designed for developing and benchmarking and machine learning models in industrial mechanical systems. Total Data Volume: Over 60 GB of raw signals. Sensor Modalities: Current: Sampled at 100 kHz. Vibration and Torque: Sampled at 25.6 kHz. RPM: Sampled at 100 kHz. like belt looseness and insulation-related faults
Unlike many public datasets, this one includes multi-fault and multi-severity conditions under randomized speed and load variations rather than just constant operation. Fault Types Studied Sensor Modalities: Current: Sampled at 100 kHz
"Vibration, current, torque, RPM dataset for multiple fault conditions in AC motors and HVAC systems," Data in Brief , Vol. 61, 2025. [DOI: 10.1016/j.dib.2025.111456]
The file is part of a large-scale research dataset specifically titled "AC Motor Testbed under constant or varying speed" . It is associated with the peer-reviewed paper "Vibration, current, torque, RPM dataset for multiple fault conditions in AC motors and HVAC systems" published in Data in Brief (2025). Dataset Overview
The testbed specifically simulated several critical failures common in industrial AC motors: and journal bearing clearance. Rotor/Winding Faults . System Misalignment .