Bearing fault diagnosis method based on Hilbert envelope spectrum and deep belief network

Journal of Vibroengineering

Volumn 17, Issue 3, 2015, Pages 1295-1308

  Wang, Xingqing ^a   Li, Yanfeng ^a   Rui, Ting ^a   Zhu, Huijie ^a   Fei, Jianchao ^a  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Bearing fault diagnosis; Deep belief network; Hilbert envelope spectrum; Statistical feature

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DEEP NEURAL NETWORKS; FAULT DETECTION; SPECTROSCOPY;

BEARING FAULT DIAGNOSIS; DEEP BELIEF NETWORKS; ENVELOPE SPECTRA; FAULT DIAGNOSIS METHOD; FAULT TYPES; FREQUENCY SPECTRA; HILBERT ENVELOPE; HILBERT ENVELOPE SPECTRUM; STATISTICAL FEATURES; VIBRATION SIGNAL;

FAILURE ANALYSIS;

EID: 84946553828     PISSN: 13928716     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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