Power Plant Surveillance and Diagnostics

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

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.

• Bayesian network
• artificial intelligence
• artificial neural network
• cognition
• expert system
• fuzzy
• fuzzy logic
• genetic algorithm
• hidden Markov model
• modeling
• neural network

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

  Da Ruan

• Institute for Energy (IFE), Halden, Norway

  Paolo F. Fantoni

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