Abstract Details
109 / 2025-05-15 12:13:47
Vibration and Acoustic Monitoring of Wind Turbine Nacelle and Automatic Fault Identification
wind turbine, automatic fault diagnosis, rotational speed estimation
Final Paper
This paper proposes an automatic diagnostic method for the field diagnostic lag problem of typical faults of wind turbine transmission chain. The method taps the characteristic frequency and amplitude of main shaft bolt loosening, gearbox pitting and shaft system imbalance, and designs corresponding automatic diagnosis algorithms: for main shaft bolt loosening, the rotational speed is estimated by the three-level meshing frequency, combined with the vibration peak characteristics to determine the fault; for gearbox pitting, the high-speed shaft rotational frequency and the magnitude of the sideband of the meshing frequency are utilized to identify the fault; for the blade shaft system imbalance, the amplitude of the blade rotational frequency is compared with the threshold value to determine the fault. For the blade shaft system imbalance, the fault is determined by comparing the blade rotational frequency amplitude with the threshold value. Finally, offline verification testing of laboratory data has confirmed that this method can effectively diagnose typical faults in wind turbines, providing strong support for the wind power industry in reducing fault rates and maintenance costs.
Important Date
-
Conference Date
Aug 01
2025
toAug 04
2025
-
Aug 20 2025
Draft paper submission deadline
Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学
Contact Information
- Mr. Yanruqiang
- ya******@xjtu.edu.cn
Previous Conferences
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2025-08-01 China wulumuqi
2025 International Conference on Equipment Intelligent Operation and Maintenance -
2023-09-21 China Hefei
2023 International Conference on Equipment Intelligent Operation and Maintenance
