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	A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition
	Zhang Z.; Chen H.; Li S.; An Z.; Wang J.
刊名	Neurocomputing
	2019
关键词	Domain adaptation GFK Strengthened feature extraction Z-score normalization
DOI	10.1016/j.neucom.2019.09.081
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/4553936
专题	山东大学
作者单位	State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016
推荐引用方式 GB/T 7714	Zhang Z.,Chen H.,Li S.,et al. A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition[J]. Neurocomputing,2019.
APA	Zhang Z.,Chen H.,Li S.,An Z.,&Wang J..(2019).A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition.Neurocomputing.
MLA	Zhang Z.,et al."A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition".Neurocomputing (2019).

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