摘要详情

ID / 提交时间

109 / 2025-05-15 12:13:47

标题

Vibration and Acoustic Monitoring of Wind Turbine Nacelle and Automatic Fault Identification

关键字

wind turbine, automatic fault diagnosis, rotational speed estimation

主题及专题

4、System Monitoring, Fault Diagnosis and Prediction

状态

终稿

作者

Linhe Liu / 东北电力大学

Yanjie Shen / Northeast Electric Power University

Yingjie Wu / Northeast Electric Power University

Yong Li / Ltd；Inspur Electronic Information Industry Co.

Yang Li / Dingxing County Power Supply Branch

Guang Qi Qu / Northeast Electric Power University

Shun Wang / Northeast Electric Power University

摘要

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.