Study of rolling bearing SVM pattern recognition based on correlation dimension of IMF

Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012

Volumn , Issue , 2012, Pages 1132-1135

  Jiang, Qing ^a   Li, Ting ^a   Yao, Yan ^a   Cai, Jinhui ^a  

^a CHINA JILIANG UNIVERSITY   (China)

Author keywords

correlation coefficient; correlation dimensions; IMF; pattern recognition; SVM

Indexed keywords

BEARING SYSTEMS; CHARACTERISTIC PARAMETER; CORRELATION COEFFICIENT; CORRELATION DIMENSIONS; ELECTRICAL POWER SYSTEM; FAULT PATTERNS; IMF; INNER FAULT; INTRINSIC MODE FUNCTIONS; MECHANICAL DEVICE; NORMAL STATE; ROLLING BEARING VIBRATION; ROLLING BEARINGS; SVM; SVM CLASSIFIERS; THRESHOLD FILTERING; WORKING STATE;

BEARINGS (MACHINE PARTS); INTELLIGENT SYSTEMS; PATTERN RECOGNITION; SIGNAL PROCESSING; SYSTEMS ANALYSIS;

SUPPORT VECTOR MACHINES;

EID: 84861014519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISdea.2012.665     Document Type: Conference Paper

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