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Volumn 1, Issue , 2007, Pages 419-422

Steam turbine fault diagnosis method based on rough set theory and Bayesian network

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSTIC RULES; FAULT SYMPTOM ACQUISITION; NETWORK STRUCTURE;

EID: 44049092541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2007.532     Document Type: Conference Paper
Times cited : (6)

References (5)
  • 1
    • 44049107801 scopus 로고    scopus 로고
    • Pawlak Z, Busse J G, Slowinski Rret al, Rough set: Communications of the ACM. (1995),38(11) : 89-95
    • Pawlak Z, Busse J G, Slowinski Rret al, Rough set: Communications of the ACM. (1995),38(11) : 89-95
  • 3
    • 15744385888 scopus 로고    scopus 로고
    • Extraction method of decision rules for fault diagnosis based on rough set theory
    • Wentao Huang, Xuereng Zhao, Weijie Wang, etal. Extraction method of decision rules for fault diagnosis based on rough set theory. Proceedings of the CSEE, 2003, 23(11): 150-154.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.11 , pp. 150-154
    • Huang, W.1    Zhao, X.2    Wang, W.3
  • 4
    • 1642347676 scopus 로고    scopus 로고
    • Synthetic fault diagnosis of oil-immersed power transformer based on rough set theory and fuzzy Petri nets
    • Nan Wang, Fangcheng Lv, Yunpeng Liu, etal. Synthetic fault diagnosis of oil-immersed power transformer based on rough set theory and fuzzy Petri nets. Proceedings of the CSEE, 2003,23(12): 128-132.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.12 , pp. 128-132
    • Wang, N.1    Lv, F.2    Liu, Y.3
  • 5
    • 44049093038 scopus 로고    scopus 로고
    • Application of Bayesian Network in Fault Diagnosis of Hydroelectric Unit
    • Bin Hua, Jianzhong Zhou, Qing Yu, Application of Bayesian Network in Fault Diagnosis of Hydroelectric Unit. Journal of North China Electric Power University, 2004, 31(5): 33-36.
    • (2004) Journal of North China Electric Power University , vol.31 , Issue.5 , pp. 33-36
    • Hua, B.1    Zhou, J.2    Yu, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.