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	Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox
	Huang, Qian ; Jiang, Dongxiang ; Hong, Liangyou ; Ding, Yongshan
	2010-05-10 ; 2010-05-10
会议名称	ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS ; 5th International Symposium on Neural Networks ; Beijing, PEOPLES R CHINA ; Web of Science
关键词	Gearbox wavelet neural networks fault diagnosis Computer Science, Theory & Methods
中文摘要	This paper applies an Artificial Neural Networks (ANN) method-Wavelet Neural Networks (WNN) on fault diagnosis for a wind turbine gearbox. A gearbox is one of the most important units in a wind turbine drive traits. It is significant to study fault diagnosis of gearbox conditions. First this paper presents the principles and advantages of Wavelet Neural Networks. Second this paper specifies the vibration mechanism of the gearbox and the feature parameter group reflecting fault feature, and then the standard fault samples (training samples) and simulation samples (testing samples) are obtained. Third this paper applies the WNN method to perform diagnosing. The accurate diagnostic results have proved the effectiveness of the method for vibration fault diagnosis of gearbox. Finally, the relative advantages of the WNN method are contrasted with those of BPNN method.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19671]
专题	清华大学
推荐引用方式 GB/T 7714	Huang, Qian,Jiang, Dongxiang,Hong, Liangyou,et al. Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox[C]. 见:ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS, 5th International Symposium on Neural Networks, Beijing, PEOPLES R CHINA, Web of Science.

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