A hybrid approach of rough set theory and genetic algorithm for fault diagnosis

International Journal of Advanced Manufacturing Technology

Volumn 27, Issue 1-2, 2005, Pages 119-127

  Huang, C L ^a   Li, T S ^b   Peng, T K ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Data mining; Data reduction; Electromagnetic compatibility; Electromagnetic interference; Genetic algorithm; Rough set theory; Rule generation

Indexed keywords

DATA MINING; DATA REDUCTION; ELECTROMAGNETIC COMPATIBILITY; GENETIC ALGORITHMS; INFERENCE ENGINES; INTEGRATION; MATHEMATICAL MODELS; SEARCH ENGINES; SIGNAL INTERFERENCE;

DIAGNOSTIC ACCURACY; FAULT DIAGNOSIS; HIDDEN PATTERNS; RULE GENERATION;

ROUGH SET THEORY;

EID: 27944483246     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-004-2142-3     Document Type: Article

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