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Rolling bearing fault diagnosis method based on FSC-MPE and BP neural network

Objectives This paper proposes a method for effectively extracting fault features and identifying fault patterns from the early impact vibration signals of the rolling bearings of complex equipment which is non-stationary, nonlinear and has strong background noise. Methods First, the fault features...

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Hlavní autoři: Junfeng LIU, baoying DONG, Xiang YU, Haibo WAN
Médium: Artigo
Jazyk:Inglês
Vydáno: Editorial Office of Chinese Journal of Ship Research 2021-12-01
Edice:Zhongguo Jianchuan Yanjiu
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On-line přístup:http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02158
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