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Volumn 3, Issue , 2006, Pages 2124-2127

A novel substation fault diagnosis approach based on RS and ANN and ES

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; EXPERT SYSTEMS; FAILURE ANALYSIS; ROUGH SET THEORY;

EID: 39749203376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCAS.2006.284918     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 1
    • 25144514929 scopus 로고    scopus 로고
    • Substation fault Diagnosis method based on rough set and neural network model
    • H. S. Su and Q. Z. Li, "Substation fault Diagnosis method based on rough set and neural network model", Power System Technology, Vol.29, No. 16. pp.66-70. 2005.
    • (2005) Power System Technology , vol.29 , Issue.16 , pp. 66-70
    • Su, H.S.1    Li, Q.Z.2
  • 2
    • 39749172512 scopus 로고    scopus 로고
    • H. S. Su, Multi-area parallel neural classifier for substation fault diagnosis based on rough set theory, Journal of Southeast University (Natural Science Edition), 35, Sup (II), pp.207-210, 2005.
    • H. S. Su, "Multi-area parallel neural classifier for substation fault diagnosis based on rough set theory", Journal of Southeast University (Natural Science Edition), Vol. 35, Sup (II), pp.207-210, 2005.
  • 3
    • 33744729184 scopus 로고    scopus 로고
    • H. S. Su and Q. Z. Li, Fuzzy neural classifier for transformer fault diagnosis based on rough sets theory in Proceedings of the Eighth International Conference on Electrical Machines and Systems, Nanjing. P.R. China, pp.2223-2227, Sept.27-29, 2005
    • H. S. Su and Q. Z. Li, "Fuzzy neural classifier for transformer fault diagnosis based on rough sets theory" in Proceedings of the Eighth International Conference on Electrical Machines and Systems, Nanjing. P.R. China, pp.2223-2227, Sept.27-29, 2005
  • 4
    • 0036552623 scopus 로고    scopus 로고
    • Evidential reasoning of knowledge base system based on rough set theory
    • W. D. Zhao and Q. H. Li, "Evidential reasoning of knowledge base system based on rough set theory", Mini-Micro System, Vol.23, No.4, pp. 447-448, 2002.
    • (2002) Mini-Micro System , vol.23 , Issue.4 , pp. 447-448
    • Zhao, W.D.1    Li, Q.H.2
  • 5
    • 39749122767 scopus 로고    scopus 로고
    • Research on fault diagnosis method of substation based on rough set and baysian classifier
    • to be published
    • H. S. Su, Q.Z. Li and W. B. Hao, "Research on fault diagnosis method of substation based on rough set and baysian classifier", Computer Engineering and Design, to be published
    • Computer Engineering and Design
    • Su, H.S.1    Li, Q.Z.2    Hao, W.B.3
  • 6
    • 39749112008 scopus 로고    scopus 로고
    • J. Yang, Z. Feng and L. Huang, Intelligent Fault Diagnosis Technology for Equipment. BJ: Defence Industry Press, 2004
    • J. Yang, Z. Feng and L. Huang, Intelligent Fault Diagnosis Technology for Equipment. BJ: Defence Industry Press, 2004
  • 8
    • 39749202386 scopus 로고    scopus 로고
    • H. S. Su and Q. Z. Li, Application study of composite neural networks in fault diagnosis systems based on GA learning, Computer Scince, 32, No. 8 A, pp.255-256,2005.
    • H. S. Su and Q. Z. Li, "Application study of composite neural networks in fault diagnosis systems based on GA learning", Computer Scince, Vol.32, No. 8 A, pp.255-256,2005.
  • 9
    • 0033339376 scopus 로고    scopus 로고
    • Use of neural fuzzy networks with mixed genetic/gradient algorithm in automated vehicle control
    • S. Huang and W. Ren, "Use of neural fuzzy networks with mixed genetic/gradient algorithm in automated vehicle control", IEEE Trans. On Industrial Electronics, Vol.46, No.6, pp.1090-1011, 1999.
    • (1999) IEEE Trans. On Industrial Electronics , vol.46 , Issue.6 , pp. 1090-1011
    • Huang, S.1    Ren, W.2
  • 10
    • 77950597630 scopus 로고    scopus 로고
    • Modeling for estimation of SOC of MH-Ni Battery based on RBF neural networks in Prco
    • HeFei, P. R. China, pp
    • X. L. Zhang and J. J. Song, "Modeling for estimation of SOC of MH-Ni Battery based on RBF neural networks" in Prco. System Simulation Technology & Application, HeFei, P. R. China, pp. 121-123, 2005.
    • (2005) System Simulation Technology & Application , pp. 121-123
    • Zhang, X.L.1    Song, J.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.