Gear Fault Diagnosis of Wind Turbine Based on Discrete Wavelet Transform

被引：11
|
作者：
Guo, Yanping [1 ]
Yan, Wenjun [1 ]
Bao, Zhejing [1 ]
机构：
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
Wind turbine; Gear Fault diagnosis; Discrete wavelet transform; Frequency spectrum; Energy distribution;
D O I：
10.1109/WCICA.2010.5554606
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The feature-frequency technique based on discrete wavelet transform (DWT) is proposed to diagnose the gear faults of wind turbine. Discrete wavelet decomposition to the vibration acceleration signal, combined with the analysis of energy distribution in different frequency band, is applied to determine the characteristic frequency band of the fault, and then the type of fault is determined by the frequency spectrum of the reconstructed signal on the characteristic frequency band. Large simulation experiments show that the feature-frequency technique based on DWT can effectively extract the characteristics of the gear faults of wind turbine and then accurately determine the type of fault.
引用
收藏
页码：5804 / 5808
页数：5
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