"Example Dataset of Five Typical Fault Types in Industrial Rotor Systems"
Abstract
"This collection comprises five sets of real-world fault datasets from rotating machinery, including turbine oil film whirl, turbine rotor-stator rubbing, and compressor high-pressure cylinder surge. All datasets were acquired on site using eddy-current displacement sensors at specific measurement points. The datasets contain vibration time-domain waveforms along with corresponding rotational speed, GAP voltage, peak-to-peak values, and 1\u00d7 and 2\u00d7 shaft frequency phase measurements.The waveform files for each dataset contain 1,024 sampling points per file, with the total number of files ranging from 13,820 to 35,305 per dataset, covering the complete operational cycle, including startup, normal operation, and fault conditions. These datasets provide high-resolution, real-world measurements suitable for developing and validating fault diagnosis, condition monitoring, and predictive maintenance methods for rotating machinery."
Fields of Study & Subjects
Machine Fault Diagnosis Techniques
Fault Detection and Control Systems
Technical Engine Diagnostics and Monitoring
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 10 February 2026
- Language
- EN
- Document type
- Dataset