Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosis

ISA Transactions

Volumn 53, Issue 5, 2014, Pages 1534-1543

  Li, Chaoshun ^a   Zhou, Jianzhong ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Empirical mode decomposition; Fault diagnosis; Gravitational search; Semi supervised weighted kernel clustering; Wavelet packet transform

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; FAILURE ANALYSIS; SUPPORT VECTOR MACHINES; WAVELET DECOMPOSITION;

CLASSIFICATION INFORMATIONS; EMPIRICAL MODE DECOMPOSITION; GRAVITATIONAL SEARCH; GRAVITATIONAL SEARCH ALGORITHM (GSA); KERNEL CLUSTERING; SUPERVISED LEARNING METHODS; TRADITIONAL CLUSTERING; WAVELET PACKET TRANSFORMS;

FAULT DETECTION;

EID: 84908118200     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2014.05.019     Document Type: Conference Paper

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