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Volumn 2, Issue , 2005, Pages 1012-1016

Fault prediction of boilers with fuzzy mathematics and RBF neural network

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; COMPUTER SOFTWARE; FUZZY CONTROL;

EID: 29844433873     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (8)
  • 1
    • 0028484335 scopus 로고
    • Modeling chemical processes using prior knowledge and neural networks
    • Thompson L, Kramer A. Modeling chemical processes using prior knowledge and neural networks. AIChE Journal of Process system Engineering,40(8). 1994. 496-502
    • (1994) AIChE Journal of Process System Engineering , vol.40 , Issue.8 , pp. 496-502
    • Thompson, L.1    Kramer, A.2
  • 2
    • 0026135904 scopus 로고
    • Radial basis function networks for classifying process faults
    • April
    • Leonard A, Kramer A. Radial basis function networks for classifying process faults. IEEE Control Systems Magazine, 11(3), April 1991. 31-38
    • (1991) IEEE Control Systems Magazine , vol.11 , Issue.3 , pp. 31-38
    • Leonard, A.1    Kramer, A.2
  • 3
    • 0001223496 scopus 로고
    • Prediction of dough rheological properties using neural networks
    • Ruan R, Aimer S, Zhang J. Prediction of dough rheological properties using neural networks. Cereal Chemistry, 72(3). 1995, 7-13
    • (1995) Cereal Chemistry , vol.72 , Issue.3 , pp. 7-13
    • Ruan, R.1    Aimer, S.2    Zhang, J.3
  • 5
    • 0033690478 scopus 로고    scopus 로고
    • Soft fault diagnosis in analogue circuits: A comparison of fuzzy approach with radial basis function networks
    • Sponsor, IEEE Instrumentation and Measurement Society
    • Catelani Marcantonio, Fort Ada, Bigi Michele, Singuaroli Roberto, Soft fault diagnosis in analogue circuits: A comparison of fuzzy approach with radial basis function networks. IEEE Instrumentation and Measurement Technology Conference, v 3, 2000, 1493-1498, Sponsor, IEEE Instrumentation and Measurement Society
    • (2000) IEEE Instrumentation and Measurement Technology Conference , vol.3 , pp. 1493-1498
    • Marcantonio, C.1    Ada, F.2    Michele, B.3    Roberto, S.4
  • 6
    • 0033899269 scopus 로고    scopus 로고
    • Diagnosis of rolling element bearing faults using radial basis function networks
    • Nandi, A.K., McConnick, A.C, Jack, L.B. Diagnosis of rolling element bearing faults using radial basis function networks. Applied Signal Processing, 6(1), 2000, 25-32
    • (2000) Applied Signal Processing , vol.6 , Issue.1 , pp. 25-32
    • Nandi, A.K.1    McConnick, A.C.2    Jack, L.B.3
  • 7
    • 0035095026 scopus 로고    scopus 로고
    • Application of minimal radial basis function neural network to distance protection
    • Dash P.K. Pradhan A.K., Panda G. Application of minimal radial basis function neural network to distance protection. IEEE Transactions on Power Delivery, 16(1), 2001, 68-74
    • (2001) IEEE Transactions on Power Delivery , vol.16 , Issue.1 , pp. 68-74
    • Dash, P.K.1    Pradhan, A.K.2    Panda, G.3
  • 8
    • 0348197187 scopus 로고    scopus 로고
    • Classification of gear faults using cumulants and the radial basis function network
    • Wuxing Lai, Tse Peter W, Ouicai Zhang, Tielin Shi. Classification of gear faults using cumulants and the radial basis function network. Mechanical Systems and Signal Processing, 18(2),2004,381-389
    • (2004) Mechanical Systems and Signal Processing , vol.18 , Issue.2 , pp. 381-389
    • Lai, W.1    Tse Peter, W.2    Zhang, O.3    Shi, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.