Fault identification of bearings based on bispectrum distribution of ARMA model and FCM method

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)

Volumn 40, Issue 7, 2012, Pages

  Xu, Hong Bo ^a   Chen, Guo Hua ^a   Wang, Xin Hua ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangzhou Academy of Special Equipment Inspection and Testing   (China)

Author keywords

ARMA model; Bearing; Bispectrum; Fault identification; Fuzzy c means

Indexed keywords

ARMA MODEL; AUTOREGRESSIVE MOVING AVERAGE; BISPECTRUM; CHARACTERISTICS OF VIBRATIONS; CLASS TEMPLATES; EMPIRICAL MODE DECOMPOSITION; FAULT IDENTIFICATIONS; FCM CLUSTERING; FEATURE VECTORS; FUZZY C MEAN; FUZZY C-MEANS; ROLLING BEARINGS; SIGNAL COMPONENTS; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); CLUSTER ANALYSIS; FUZZY SYSTEMS; RANDOM PROCESSES; SIGNAL PROCESSING;

BEARINGS (MACHINE PARTS);

EID: 84867425153     PISSN: 1000565X     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1000-565X.2012.07.014     Document Type: Article

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