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Power Plant Surveillance and Diagnostics

Applied Research with Artificial Intelligence

  • Book
  • © 2002

Overview

Editors:
  1. Da Ruan

    1. Belgian Nuclear Research Centre (SCK·CEN), Mol, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  2. Paolo F. Fantoni

    1. Institute for Energy (IFE), Halden, Norway

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    You can also search for this editor in PubMed   Google Scholar

  • Edited book reporting recent results of AI research in power plant surveillance and diagnostics
  • High quality and applicability of the contributions through a thorough peer-reviewing process
  • Condition monitoring and early fault detection both provide efficient energy systems at lower costs

Part of the book series: Power Systems (POWSYS)

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Table of contents (23 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Modern Approaches and Advanced Applications for Plant Surveillance and Diagnostics: An Overview

    • Da Ruan
    Pages 1-30

  3. Regulatory Treatment of On-Line Surveillance and Diagnostic Systems

    • Robert E. Uhrig
    Pages 31-40

  4. Optimized Maintenance and Management of Ageing of Critical Equipment in Nuclear Power Plants

    • H. M. Hashemian
    Pages 41-49

  5. Overview of Recent KFKI AEKI Activities in the Field of Plant Surveillance and Diagnostics

    • Sándor Kiss, Sándor Lipcsei, János Végh
    Pages 51-62

  6. Adaptive Model-Based Control of Non-linear Plants Using Soft Computing Techniques

    • Patricia Melin, Oscar Castillo
    Pages 63-74

  7. Bayesian Networks in Decision Support

    • Tomas O. Carlsson, Ronald Wennersten
    Pages 75-90

  8. Hidden Markov Model Based Transient Identification in NPPs

    • Kee-Choon Kwon
    Pages 91-106

  9. Expert System-Based Implementation of Failure Detection

    • Jung-Taek Kim, Kee-Choon Kwon, In-Koo Hwang, Dong-Young Lee, Jung-Woon Lee, Sang-Jeong Lee
    Pages 107-120

  10. Detection of Incipient Signal or Process Faults in a Co-Generation Plant Using the Plant ECM System

    • William Nieman, Ralph Singer
    Pages 121-134

  11. On-line Determination of the MTC (Moderator Temperature Coefficient) by Neutron Noise and Gamma-Thermometer Signals

    • C. Demazière, I. Pázsit
    Pages 135-156

  12. Detecting Impacting of BWR Instrument Tubes by Wavelet Analysis

    • V. Arzhanov, I. Pázsit
    Pages 157-174

  13. Development of Advanced Core Noise Monitoring System for a Boiling Water Reactor

    • Michitsugu Mori, Shigeru Kanemoto, Mitsuhiro Enomoto, Shigeo Ebata
    Pages 175-192

  14. Diagnosis of Measuring Systems Using Cluster Analysis Applied to Hydrostatic Water Level Measurement

    • A. Traichel, V. Schneider, W. Kästner, R. Hampel
    Pages 193-207

  15. A Hybrid Fuzzy-Fractal Approach for Time Series Analysis and Prediction and Its Applications to Plant Monitoring

    • Oscar Castillo, Patricia Melin
    Pages 209-219

  16. Failure Detection Using a Fuzzy Neural Network with an Automatic Input Selection Algorithm

    • Man Gyun Na, Young Rok Sim, Kyung Ho Park, Belle R. Upadhyaya, Baofu Lu, Ke Zhao
    Pages 221-242

  17. Artificial Neural Networks Modeling as a Diagnostic and Decision Making Tool

    • Zvi Boger
    Pages 243-252

  18. A New Approach for Transient Identification with “Don’t Know” Response Using Neural Networks

    • Antônio C. de A. Mol, Aquilino S. Martinez, Roberto Schirru
    Pages 253-272

  19. Planning Surveillance Test Policies Through Genetic Algorithms

    • Celso M. F. Lapa, Cláudio M. N. A. Pereira, P. F. Frutuoso e Melo
    Pages 273-285

  20. A Possibilistic Approach for Transient Identification with “Don’t Know” Response Capability Optimized by Genetic Algorithm

    • José Carlos S. de Almeida, Roberto Schirru, Cláudio M. N. A. Pereira
    Pages 287-297
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Keywords

About this book

In little more than a decade, the availability of nuclear power plants in the United States and most European and Pacific Rim countries has increased dramatically­ from around 60% to about 90%. Such improvement is equivalent to adding approximately 30,000 MW e of new generating capacity in this period in the United States and perhaps an equal amount elsewhere. Some of this improvement has been due to longer fuel cycles-increases from 12 months to 18 or 24 months, but the major gains have been due to on-line maintenance and improved operation and planning by the utilities, accomplished primarily by training of plant operators and support personnel. However, there are emerging indications that the benefits of training are asymptotically approaching the limit beyond which it cannot improve availability and that plant personnel errors may also be approaching a comparable lower limit. Indeed, further improvement appears to be dependent upon the effective introduction and use of plant operational support systems. The Halden Reactor Project (HRP) historically has focused on plant operational support system, i. e. , such tools as COPMA (Computerized OPeration MAnuals), PEANO (Process Evaluation and Analysis by Neural Operators), TEMPO (ThErMal Performance and Optimization), PLASMA (PLAnt Safety Monitoring and Assessment system), and others.

Editors and Affiliations

  • Belgian Nuclear Research Centre (SCK·CEN), Mol, Belgium

    Da Ruan

  • Institute for Energy (IFE), Halden, Norway

    Paolo F. Fantoni

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