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	Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network
	Liu, W.; Han, M.; Chen, L.
刊名	Lecture Notes in Electrical Engineering
	2019
卷号	529页码:425-432
关键词	Bearings (structural) Convolution Deep learning Failure analysis Mathematical transformations Neural networks Statistical tests Bearing fault diagnosis Convolutional neural network Convolutional Neural Networks (CNN) De-noising Diagnosis methods Failure information Generalized S transform Recognition accuracy Fault detection
ISSN号	18761100
DOI	10.1007/978-981-13-2291-4_42
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5922718
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Liu, W.,Han, M.,Chen, L.. Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network[J]. Lecture Notes in Electrical Engineering,2019,529:425-432.
APA	Liu, W.,Han, M.,&Chen, L..(2019).Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network.Lecture Notes in Electrical Engineering,529,425-432.
MLA	Liu, W.,et al."Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network".Lecture Notes in Electrical Engineering 529(2019):425-432.

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