Wind Turbine Blades Fault Diagnosis based on Vibration Dataset Analysis
Published: 25 October 2023| Version 4 | DOI: 10.17632/5d7vbdp8f7.4
Contributors:
Ahmed Ali Farhan Ogaili, Alaa AbdulhadyJaber, Mohsin Noori HamzahDescription
The data collection includes uniaxial vibration measurements of wind turbine induction operating at varying wind speeds. It contains three vibration datasets of wind turbines in a healthy state and three in a problematic one. In addition, the defective circumstances of wind turbines include blade cracks, blade surface degradation, and blade imbalance. There are a total of 35 wind turbine conditions datasets. The dataset was collected at a sampling rate of 1 kHz, with 500 samples per channel.
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Institutions
- University of Mustansiriyah
- University of Technology
Categories
Mechanical Vibration