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	Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method
	An, Zenghui; Li, Shunming; Wang, Jinrui; Xin, Yu; Xu, Kun
刊名	NEUROCOMPUTING
	2019
卷号	352页码:42-53
关键词	Fault diagnosis Domain adaptation Kernel method Maximum mean discrepancy
DOI	10.1016/j.neucom.2019.04.010
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/4547024
专题	山东大学
作者单位	1.Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing, Jiangsu, Peoples R China. 2.[Wang
推荐引用方式 GB/T 7714	An, Zenghui,Li, Shunming,Wang, Jinrui,et al. Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method[J]. NEUROCOMPUTING,2019,352:42-53.
APA	An, Zenghui,Li, Shunming,Wang, Jinrui,Xin, Yu,&Xu, Kun.(2019).Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method.NEUROCOMPUTING,352,42-53.
MLA	An, Zenghui,et al."Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method".NEUROCOMPUTING 352(2019):42-53.

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