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Volumn 49, Issue 3, 2007, Pages 262-272

A dynamic neural network aggregation model for transient diagnosis in nuclear power plants

Author keywords

Accident diagnosis; Operator support system; Severity analysis

Indexed keywords

FAILURE ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 34047255902     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2007.01.002     Document Type: Article
Times cited : (85)

References (23)
  • 1
    • 0038416707 scopus 로고    scopus 로고
    • Comparisons between the various types of neural networks with the data of wide range operational conditions of the Borssele NPP
    • Ayaz E., Seker S., Barutcu B., and Turkcan E. Comparisons between the various types of neural networks with the data of wide range operational conditions of the Borssele NPP. Progress in Nuclear Energy 43 (2003) 381
    • (2003) Progress in Nuclear Energy , vol.43 , pp. 381
    • Ayaz, E.1    Seker, S.2    Barutcu, B.3    Turkcan, E.4
  • 2
    • 0028699744 scopus 로고    scopus 로고
    • Bartal, Y., Lin, J., Uhrig, R.E., 1994. Nuclear power plants transient diagnostics using LVQ or some networks don't know that they don't know. In: IEEE International Conference on Neural Networks. p. 3744.
  • 3
    • 0029323251 scopus 로고
    • Nuclear-power-plant transient diagnostics using artificial neural networks that allow dont-know classifications
    • Bartal Y., Lin J., and Uhrig R.E. Nuclear-power-plant transient diagnostics using artificial neural networks that allow dont-know classifications. Nuclear Technology 110 (1995) 436
    • (1995) Nuclear Technology , vol.110 , pp. 436
    • Bartal, Y.1    Lin, J.2    Uhrig, R.E.3
  • 4
    • 0028494126 scopus 로고
    • Incipient multiple-fault diagnosis in real-time with application to large-scale systems
    • Chung H.Y., Bien Z.N., Park J.H., and Seong P.H. Incipient multiple-fault diagnosis in real-time with application to large-scale systems. IEEE Transactions on Nuclear Science 41 (1994) 1692
    • (1994) IEEE Transactions on Nuclear Science , vol.41 , pp. 1692
    • Chung, H.Y.1    Bien, Z.N.2    Park, J.H.3    Seong, P.H.4
  • 5
    • 2942687569 scopus 로고    scopus 로고
    • Hybrid identification of nuclear power plant transients with artificial neural networks
    • Embrechts M.J., and Benedek S. Hybrid identification of nuclear power plant transients with artificial neural networks. IEEE Transactions on Industrial Electronics 51 (2004) 686
    • (2004) IEEE Transactions on Industrial Electronics , vol.51 , pp. 686
    • Embrechts, M.J.1    Benedek, S.2
  • 6
    • 0030241088 scopus 로고    scopus 로고
    • A pattern recognition artificial neural networks based model for signal validation in nuclear power plants
    • Fantoni P.F., and Mazzola A. A pattern recognition artificial neural networks based model for signal validation in nuclear power plants. Annals of Nuclear Energy 23 (1996) 1069
    • (1996) Annals of Nuclear Energy , vol.23 , pp. 1069
    • Fantoni, P.F.1    Mazzola, A.2
  • 7
    • 0030271848 scopus 로고    scopus 로고
    • A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks
    • Furukawa H., Ueda T., and Kitamura M. A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks. Neurocomputing 13 (1996) 171
    • (1996) Neurocomputing , vol.13 , pp. 171
    • Furukawa, H.1    Ueda, T.2    Kitamura, M.3
  • 9
    • 0028744177 scopus 로고    scopus 로고
    • Hwang, B.C., 1994. Intelligent control for a nuclear power plant using artificial neural networks. In: IEEE International Conference on Neural Networks. p. 2580.
  • 10
    • 0030244254 scopus 로고    scopus 로고
    • A hybrid approach for detecting and isolating faults in nuclear power plant interacting systems
    • Hines J.W., Miller D.W., and Hajek B.K. A hybrid approach for detecting and isolating faults in nuclear power plant interacting systems. Nuclear Technology 115 (1996) 342
    • (1996) Nuclear Technology , vol.115 , pp. 342
    • Hines, J.W.1    Miller, D.W.2    Hajek, B.K.3
  • 11
    • 0028539889 scopus 로고
    • Error prediction for a nuclear-power-plant fault-diagnostic adviser using neural networks
    • Kim K., and Bartlett E.B. Error prediction for a nuclear-power-plant fault-diagnostic adviser using neural networks. Nuclear Technology 108 (1994) 283
    • (1994) Nuclear Technology , vol.108 , pp. 283
    • Kim, K.1    Bartlett, E.B.2
  • 12
    • 0030216881 scopus 로고    scopus 로고
    • Nuclear power plant fault diagnosis using neural networks with error estimation by series association
    • Kim K., and Bartlett E.B. Nuclear power plant fault diagnosis using neural networks with error estimation by series association. IEEE Transactions on Nuclear Science 43 (1996) 2373
    • (1996) IEEE Transactions on Nuclear Science , vol.43 , pp. 2373
    • Kim, K.1    Bartlett, E.B.2
  • 13
    • 0029346459 scopus 로고
    • Predicting the severity of nuclear-power-plant transients using nearest neighbors modeling optimized by genetic algorithms on a parallel computer
    • Lin J., Bartal Y., and Uhrig R.E. Predicting the severity of nuclear-power-plant transients using nearest neighbors modeling optimized by genetic algorithms on a parallel computer. Nuclear Technology 111 (1995) 46
    • (1995) Nuclear Technology , vol.111 , pp. 46
    • Lin, J.1    Bartal, Y.2    Uhrig, R.E.3
  • 14
    • 23344452978 scopus 로고    scopus 로고
    • A dynamic neural network based accident diagnosis advisory system for nuclear power plants
    • Lee S.J., and Seong P.H. A dynamic neural network based accident diagnosis advisory system for nuclear power plants. Progress in Nuclear Energy 46 (2005) 268
    • (2005) Progress in Nuclear Energy , vol.46 , pp. 268
    • Lee, S.J.1    Seong, P.H.2
  • 15
    • 0038814023 scopus 로고    scopus 로고
    • A neural model for transient identification in dynamic processes with "don't know" response
    • Mol A.C.D., Martinez A.S., and Schirru R. A neural model for transient identification in dynamic processes with "don't know" response. Annals of Nuclear Energy 30 (2003) 1365
    • (2003) Annals of Nuclear Energy , vol.30 , pp. 1365
    • Mol, A.C.D.1    Martinez, A.S.2    Schirru, R.3
  • 17
  • 18
    • 0031212714 scopus 로고    scopus 로고
    • Survey of artificial intelligence methods for detection and identification of component faults in nuclear power plants
    • Reifman J. Survey of artificial intelligence methods for detection and identification of component faults in nuclear power plants. Nuclear Technology 119 (1997) 76
    • (1997) Nuclear Technology , vol.119 , pp. 76
    • Reifman, J.1
  • 19
    • 0034250121 scopus 로고    scopus 로고
    • Soft computing tools for transient classification
    • Roverso D. Soft computing tools for transient classification. Information Sciences 127 (2000) 137
    • (2000) Information Sciences , vol.127 , pp. 137
    • Roverso, D.1
  • 20
    • 0037810424 scopus 로고    scopus 로고
    • Artificial neural networks for dynamic monitoring of simulated-operating parameters of high temperature gas cooled engineering test reactor (HTTR)
    • Seker S., Turkcan E., Ayaz E., and Barutcu B. Artificial neural networks for dynamic monitoring of simulated-operating parameters of high temperature gas cooled engineering test reactor (HTTR). Annals of Nuclear Energy 30 (2003) 1777
    • (2003) Annals of Nuclear Energy , vol.30 , pp. 1777
    • Seker, S.1    Turkcan, E.2    Ayaz, E.3    Barutcu, B.4
  • 21
    • 0001818505 scopus 로고    scopus 로고
    • Soft computing technologies in nuclear engineering applications
    • Uhrig R.E., and Tsoukalas L.H. Soft computing technologies in nuclear engineering applications. Progress in Nuclear Energy 34 (1999) 13
    • (1999) Progress in Nuclear Energy , vol.34 , pp. 13
    • Uhrig, R.E.1    Tsoukalas, L.H.2
  • 22
    • 0041528509 scopus 로고    scopus 로고
    • Symptom based diagnostic system for nuclear power plant operations using artificial neural networks
    • Vinod S.G., Babar A.K., Kushwaha H.S., and Raj V.V. Symptom based diagnostic system for nuclear power plant operations using artificial neural networks. Reliability Engineering and System Safety 82 (2003) 33
    • (2003) Reliability Engineering and System Safety , vol.82 , pp. 33
    • Vinod, S.G.1    Babar, A.K.2    Kushwaha, H.S.3    Raj, V.V.4
  • 23
    • 0343703436 scopus 로고    scopus 로고
    • Application of genetic algorithms to fault diagnosis in nuclear power plants
    • Zhou Y.P., Zhou B.Q., and Wu D.X. Application of genetic algorithms to fault diagnosis in nuclear power plants. Reliability Engineering and System Safety 67 (2000) 153
    • (2000) Reliability Engineering and System Safety , vol.67 , pp. 153
    • Zhou, Y.P.1    Zhou, B.Q.2    Wu, D.X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.