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	Cylindrical Rolling Bearing Diagnosis Based on the Wavelet Energy Entropy Characteristics and Optimization of Neural Network
	He Kuanfang; Li Qi; Li Xuejun; Pan Yang
刊名	Mechanical Science and Technology for Aerospace Engineering
	2013
卷号	Vol.32 No.11页码:1670-1674
关键词	backpropagation calculations entropy experiments failure analysis fault detection genetic algorithms neural networks optimization roller bearing vibrations (mechanical) wavelet decomposition rolling bearing wavelet energy entropy fault diagnosis
ISSN号	1003-8728
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6498477
专题	湖南大学
推荐引用方式 GB/T 7714	He Kuanfang,Li Qi,Li Xuejun,et al. Cylindrical Rolling Bearing Diagnosis Based on the Wavelet Energy Entropy Characteristics and Optimization of Neural Network[J]. Mechanical Science and Technology for Aerospace Engineering,2013,Vol.32 No.11:1670-1674.
APA	He Kuanfang,Li Qi,Li Xuejun,&Pan Yang.(2013).Cylindrical Rolling Bearing Diagnosis Based on the Wavelet Energy Entropy Characteristics and Optimization of Neural Network.Mechanical Science and Technology for Aerospace Engineering,Vol.32 No.11,1670-1674.
MLA	He Kuanfang,et al."Cylindrical Rolling Bearing Diagnosis Based on the Wavelet Energy Entropy Characteristics and Optimization of Neural Network".Mechanical Science and Technology for Aerospace Engineering Vol.32 No.11(2013):1670-1674.

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