Fault Diagnosis of Wind Turbines Based on Noise Detection

Abstract:

Aiming at backward current situation of testing technology and fault diagnosis technology of wind power generation in China, a fault diagnosis method based on based on noise detection is put forward. Studied IEC 61400-11 noise measurement technology standard, this paper elaborates the noise detecting method, analyzes the feasibility and diagnostic steps of fault diagnosis, proposes fault signal extracting method based on wavelet analysis. According to analysis and simulation, it is shown that noise measurement is earlier than vibration detection, and the fault signal can be extracted effectively, so it has important value for engineering application.

• Periodical: Advanced Materials Research (Volumes 718-720)
• Pages: 405-408
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.718-720.405
• Online since: July 2013
• Authors: Jing Cheng, Wei Qing Wang, Shan He
• Keywords: Fault Diagnosis, Noise Detection, Wind Power Generation

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