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	Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
	Lu, Chen; Wang, Zhen-Ya; Qin, Wei-Li; Ma, Jian
刊名	SIGNAL PROCESSING
	2017
卷号	130页码:377-388
关键词	Fault diagnosis Stacked denoising autoencoder Health state identification Deep learning
ISSN号	0165-1684
DOI	10.1016/j.sigpro.2016.07.028
URL标识	查看原文
收录类别	SCIE ; EI ; ESI高被引论文
WOS记录号	WOS:000386410200038
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5942537
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Lu, Chen,Wang, Zhen-Ya,Qin, Wei-Li,et al. Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification[J]. SIGNAL PROCESSING,2017,130:377-388.
APA	Lu, Chen,Wang, Zhen-Ya,Qin, Wei-Li,&Ma, Jian.(2017).Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification.SIGNAL PROCESSING,130,377-388.
MLA	Lu, Chen,et al."Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification".SIGNAL PROCESSING 130(2017):377-388.

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