Study of the intelligent fault diagnosis system based on rough set

Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009

Volumn 2, Issue , 2009, Pages 202-205

  Wang, Hongjun ^a,b   Han, Qiushi ^a,b   Xu, Xiaoli ^a,b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b BEIJING INFORMATION SCIENCE AND TECHNOLOGY UNIVERSITY   (China)

Author keywords

Fault diagnosis; Intelligent; Knowledge acquisition; Rough set

Indexed keywords

DAQING OILFIELDS; DEGREE OF CONFIDENCE; DEGREE OF COVERAGES; EVALUATING INDICTOR; FAULT DIAGNOSIS; INTELLIGENT; INTELLIGENT EXPERT SYSTEMS; INTELLIGENT FAULT DIAGNOSIS; KNOWLEDGE RULES; MATRIX; NEW THEORY; REDUCTION RULES; ROTATING MACHINE; ROUGH SET; VAGUENESS AND UNCERTAINTY;

DECISION TABLES; EXPERT SYSTEMS; FAILURE ANALYSIS; FUZZY SETS; INFORMATION TECHNOLOGY; KNOWLEDGE ACQUISITION; MERGERS AND ACQUISITIONS; OIL FIELDS; ROTATING MACHINERY; ROTATION;

ROUGH SET THEORY;

EID: 70350534401     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFITA.2009.548     Document Type: Conference Paper

References (4)

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3. Pawlak Z, Rough sets theoretic aspects of reasoning about data, .Klumex Academic pub. 1991.
4. WANG Hongjun. ZHANG Jianmin. XU Xiaoli, "Rules Acquisition Based on Rough Set for Rotating Water Injection Machinery Fault Diagnosis", Chinese Journal of Mechanical Engineering, vol.42, 2006. pp. 135-138.