Research on rolling bearings fault diagnosis method based on EEMD morphological spectrum and kernel fuzzy C-means clustering

Zhendong Gongcheng Xuebao/Journal of Vibration Engineering

Volumn 28, Issue 2, 2015, Pages 324-330

  Zheng, Zhi ^a   Jiang, Wan Lu ^a   Hu, Hao Song ^a   Zhu, Yong ^a   Li, Yang ^a  

^a YANSHAN UNIVERSITY   (China)

Author keywords

Ensemble empirical mode decomposition; Fault diagnosis; Kernel fuzzy C means clustering; Morphological spectrum; Rolling bearings

Indexed keywords

FAILURE ANALYSIS; FAULT DETECTION; FUZZY SYSTEMS; SIGNAL PROCESSING;

EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); FUZZY C MEANS CLUSTERING; INTRINSIC MODE FUNCTIONS; MORPHOLOGICAL SPECTRUM; ROLLING BEARINGS; STANDARD DEVIATION;

ROLLER BEARINGS;

EID: 84929743251     PISSN: 10044523     EISSN: None     Source Type: Journal    
DOI: 10.16385/j.cnki.issn.1004-4523.2015.02.020     Document Type: Article

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