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	Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
	Yang, Boyuan; Liu, Ruonan; Chen, Xuefeng
刊名	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
	2017
卷号	13页码:1321-1331
关键词	sparse time-frequency representation periodical impulse vibration extraction shift-invariant dictionary learning Fault diagnosis wind turbine generator redundant union of dictionaries
ISSN号	1551-3203
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/2946794
专题	西安交通大学
推荐引用方式 GB/T 7714	Yang, Boyuan,Liu, Ruonan,Chen, Xuefeng. Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2017,13:1321-1331.
APA	Yang, Boyuan,Liu, Ruonan,&Chen, Xuefeng.(2017).Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,13,1321-1331.
MLA	Yang, Boyuan,et al."Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 13(2017):1321-1331.

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