摘要详情

ID / 提交时间

107 / 2025-05-15 10:47:18

标题

Doubly-fed wind turbine nacelle acoustic vibration fusion monitoring and fault diagnosis

关键字

Acoustic-vibration fusion, doubly-fed wind turbines, spectral similarity, fault diagnosis

主题及专题

4、System Monitoring, Fault Diagnosis and Prediction

状态

全文待审

作者

Hongwei Xin / Northeast Electric Power University

Hangjian Shang / Northeast Electric Power University

Xuefei Zhang / Northeast Electric Power University

Wei Liu / State Power Investment Corporation Xinjiang Hami Energy Co.Ltd

Wei Xu / Guoneng Changzhou Secondary Power Generation Co.Ltd

Guoxing Wu / Guoneng Changzhou Secondary Power Generation Co.Ltd

Haiming Niu / National Energy Zhishen Control Technology Co.Ltd

摘要

The acoustic pattern monitoring of a wind turbine has the advantages of being intuitive and contactless, but it is susceptible to noise interference. For this reason, this paper proposes a drive train fault diagnosis method based on the fusion of acoustic and vibration information. First, nine vibration sensors and three acoustic sensors are arranged in the nacelle of the doubly-fed wind turbine to collect vibration information from the main shaft, gearbox, generator, and yaw reducer, as well as acoustic information in the nacelle and yaw platform, respectively. An acoustic-vibration information fusion method, based on drive train spectrum similarity, is constructed, combining time-domain, spectral, and envelope analyses to reveal the operational status and potential fault characteristics of each component. The results show that acoustic-vibration fusion monitoring improves drive train fault diagnosis reliability, laying the foundation for both continuous fault monitoring and independent acoustic pattern monitoring applications in similar units.