Rolling bearing fault diagnosis based on partially ensemble empirical mode decomposition and variable predictive model-based class discrimination

Archives of Civil and Mechanical Engineering

Volumn 16, Issue 4, 2016, Pages 784-794

  Zheng, Jinde ^a  

^a ANHUI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Ensemble empirical mode decomposition; Fault diagnosis; Laplacian score; Rolling bearing; Variable predictive model

Indexed keywords

DECOMPOSITION; ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FAULT DETECTION; FREQUENCY DOMAIN ANALYSIS; LAPLACE TRANSFORMS; ORTHOGONAL FUNCTIONS; PATTERN RECOGNITION; PREDICTIVE ANALYTICS; SIGNAL PROCESSING;

AUTOMATIC FAULT DIAGNOSIS; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS; LAPLACIANS; PATTERN RECOGNITION METHOD; PREDICTIVE MODELING; ROLLING BEARINGS;

ROLLER BEARINGS;

EID: 84976336466     PISSN: 16449665     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acme.2016.05.003     Document Type: Article

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