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	Investigation assembly state of spindle bearing based on improved maximum correlated kurtosis deconvolution and support vector machine
	Zhang, Yanfei; Li, Xiaohu; Wang, Sun’an; Sun, Yanhui
刊名	Journal of Vibroengineering
	2018
卷号	20页码:963-978
关键词	Bearing assemblies Characteristic energy Different frequency Optimized parameter Spindle bearing Spindle vibrations Support vector machine classification Wavelet Packet Decomposition
ISSN号	1392-8716
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/2830525
专题	西安交通大学
推荐引用方式 GB/T 7714	Zhang, Yanfei,Li, Xiaohu,Wang, Sun’an,et al. Investigation assembly state of spindle bearing based on improved maximum correlated kurtosis deconvolution and support vector machine[J]. Journal of Vibroengineering,2018,20:963-978.
APA	Zhang, Yanfei,Li, Xiaohu,Wang, Sun’an,&Sun, Yanhui.(2018).Investigation assembly state of spindle bearing based on improved maximum correlated kurtosis deconvolution and support vector machine.Journal of Vibroengineering,20,963-978.
MLA	Zhang, Yanfei,et al."Investigation assembly state of spindle bearing based on improved maximum correlated kurtosis deconvolution and support vector machine".Journal of Vibroengineering 20(2018):963-978.

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