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	An improved bistable stochastic resonance and its application on weak fault characteristic identification of centrifugal compressor blades
	He, Changbo; Li, Hongkun; Li, Zhixiong; Zhao, Xinwei
刊名	JOURNAL OF SOUND AND VIBRATION
	2019
卷号	442页码:677-697
关键词	Large-scale centrifugal compressor Blade crack Adaptive bistable stochastic resonance Small parameters Numerical stability Noise tuning
ISSN号	0022-460X
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3221246
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China. 2.Univ Wollongong, Sch Mech Mechatron & Biomed Engn, Wollongong, NSW 2522, Australia.
推荐引用方式 GB/T 7714	He, Changbo,Li, Hongkun,Li, Zhixiong,et al. An improved bistable stochastic resonance and its application on weak fault characteristic identification of centrifugal compressor blades[J]. JOURNAL OF SOUND AND VIBRATION,2019,442:677-697.
APA	He, Changbo,Li, Hongkun,Li, Zhixiong,&Zhao, Xinwei.(2019).An improved bistable stochastic resonance and its application on weak fault characteristic identification of centrifugal compressor blades.JOURNAL OF SOUND AND VIBRATION,442,677-697.
MLA	He, Changbo,et al."An improved bistable stochastic resonance and its application on weak fault characteristic identification of centrifugal compressor blades".JOURNAL OF SOUND AND VIBRATION 442(2019):677-697.

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