Modern Approaches and Advanced Applications for Plant Surveillance and Diagnostics: An Overview

Part of the Power Systems book series (POWSYS)


The goal of this introductory chapter is to briefly summarise all chapters in this book and to communicate to a wide audience by relating modern approaches and advanced applications for power plant surveillance and diagnostics.


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Appendix A: Selected References from FLINS’94

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Appendix B: Selected References from FLINS’96

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Appendix C: Selected References from FLINS’98

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Appendix D: Selected References from FLINS 2000

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    Hampel R, Chaker N, Wagenknecht M (2000) Knowledge representation using fuzzy logic based characteristics for safety related applications Part I: basic investigations; Part II: applications, in: (Ruan etal., 2000), pp 311–318, 319–326Google Scholar
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    Hampel R, Fleischer S, Dräger F, Maekawa T (2000) Water level measurement system for boiling water reactors using internal gamma radiation — neural network application, in: (Ruan etal., 2000 ), pp 504–511Google Scholar
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    Lapa CMF, Pereira CMNA, Frutuose e Melo PF (2000) Coupled emergency diesel generator–component coolant water system maintenance scheduling optimization by genetic algorithm, in: (Ruan etal., 2000 ), pp 519–526Google Scholar
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    Melin P, Castillo 0 (2000) Adaptive intelligent control of aircraft dynamic systems with a new hybrid neuro-fuzzy-fractal approach, in: (Ruan etal., 2000 ), pp 359–368Google Scholar
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    Na MG, Yang WS, Choi H (2000) A CANDU fuel pin power reconstruction using an adaptive fuzzy inference system, in: (Ruan etal., 2000 ), pp 437–444Google Scholar
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    Ortiz JJ, Requena I (2000) Optimization of fuel reload for a BWR using neural networks and genetic algorithms, in: (Ruan etal., 2000 ), pp 512–518Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Da Ruan
    • 1
  1. 1.The Belgian Nuclear Research Centre (SCK•CEN)MolBelgium

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