Gear fault identification based on Hilbert-Huang transform and SOM neural network

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 3, 2013, Pages 1137-1146

  Cheng, Gang ^a   Cheng, Yu Long ^a   Shen, Li Hua ^b   Qiu, Jin Bo ^b   Zhang, Shuai ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b TIANDI SCIENCE AND TECHNOLOGY CO LTD   (China)

Author keywords

EMD; Fault diagnosis; Hilbert Huang transform; IMF; SOM neural network

Indexed keywords

BEARINGS (MACHINE PARTS); CONFORMAL MAPPING; FAILURE ANALYSIS; FAULT DETECTION; SELF ORGANIZING MAPS;

ADAPTIVE ANALYSIS; EMD; EMPIRICAL MODE DECOMPOSITION; FAULT CLASSIFICATION; FAULT FEATURE; GEAR FAULTS; GEAR VIBRATION; HILBERT HUANG TRANSFORMS; HILBERT MARGINAL SPECTRUM; HILBERT SPECTRUM; HILBERT TRANSFORM; IMF; INPUT VECTOR; INTRINSIC MODE FUNCTIONS; NETWORK LEARNING; NONSTATIONARY; NONSTATIONARY SIGNALS; SELF-ADAPTIVE; SELF-LEARNING; SELF-ORGANIZING FEATURE MAP;

SIGNAL PROCESSING;

EID: 84871577397     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.10.026     Document Type: Article

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