Knowledge mining for fault diagnosis based on rough sets theory

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2008, Pages 744-749

  Zhao, Chunhua ^a   Zhao, Xinze ^a   Gao, Hongliang ^a   Wu, Gang ^a  

^a CHINA THREE GORGES UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); ELECTRIC FAULT CURRENTS; FUZZY CLUSTERING; FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS; LATTICE VIBRATIONS; SET THEORY;

COMPLEX STRUCTURES; FAULT DIAGNOSIS; KNOWLEDGE DISCOVERIES; KNOWLEDGE MININGS; NONLINEAR CHARACTERS; OIL MONITORING; OIL SAMPLES; ROLLING BEARINGS; ROUGH SETS THEORIES; TRIBOSYSTEM; VIBRATION DATUMS; VIBRATION MONITORING;

ROUGH SET THEORY;

EID: 55249108945     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630453     Document Type: Conference Paper

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