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	Fuzzy C-means using manifold learning and its application to rolling bearing performance degradation assessment (EI收录)
	Wang, Fengtao[1]; Chen, Xutao[1]; Yan, Dawen[2]; Li, Hongkun[1]; Wang, Lei[1]; Zhu, Hong[1]
刊名	Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
	2016
卷号	52页码:59-64
关键词	Bearings (machine parts) Clustering algorithms Copying Degradation Frequency domain analysis Fuzzy clustering Fuzzy systems Life cycle Principal component analysis Time domain analysis
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/2196802
专题	华南理工大学
作者单位	1.[1] Institute of Vibration Engineering, Dalian University of Technology, Dalian 2.116023, China 3.[2] School of Mathematical Sciences, Dalian University of Technology, Dalian 4.116023, China
推荐引用方式 GB/T 7714	Wang, Fengtao[1],Chen, Xutao[1],Yan, Dawen[2],等. Fuzzy C-means using manifold learning and its application to rolling bearing performance degradation assessment (EI收录)[J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,2016,52:59-64.
APA	Wang, Fengtao[1],Chen, Xutao[1],Yan, Dawen[2],Li, Hongkun[1],Wang, Lei[1],&Zhu, Hong[1].(2016).Fuzzy C-means using manifold learning and its application to rolling bearing performance degradation assessment (EI收录).Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,52,59-64.
MLA	Wang, Fengtao[1],et al."Fuzzy C-means using manifold learning and its application to rolling bearing performance degradation assessment (EI收录)".Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 52(2016):59-64.

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