Fuzzy Systems and Soft Computing in Nuclear Engineering,9783790812510

Fuzzy Systems and Soft Computing in Nuclear Engineering

by
ISBN13: 9783790812510
ISBN10: 379081251X
Format: Hardcover
Pub. Date: 1999-12-01
Publisher(s): Physica Verlag
List Price: $249.99

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Summary

This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering, which can be viewed as complementary to traditional methods. As a result, fuzzy sets and soft computing provide a powerful tool for solving intricate problems pertaining in nuclear engineering. Each chapter of the book is self-contained and also indicates the future research direction on this topic of applications of fuzzy systems and soft computing in nuclear engineering.

Table of Contents

Preface v
Da Ruan
Analysis of Selected Structres for Model- Based Measuring Methods Using Fuzzy Logic
1(39)
R. Hampel
W. Kastner
A. Fenske
B. Vandreier
S. Schefter
Introduction
1(2)
Overview - Problems and Solution Steps
3(6)
Fuzzy-Based Algorithm for Adaptation of Model Matrix Elements
9(13)
Fuzzy-Based Algorithm for the Adaptation of the Observer Gain Matrix
22(6)
Fuzzy-Based Algorithm for the Description of Process Disturbances
28(7)
Conclusions
35(5)
References
38(2)
A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes
40(12)
Byung Soo Moon
Introduction
40(1)
A Fuzzy System to Represent Spline Interpolation
41(4)
Examples of Fuzzy Systems
45(2)
Fuzzy System to Compute Total Power Defect
47(1)
Fuzzy System to Evaluate Integral Rod Worth
48(1)
Fuzzy System to Compute the Sum and the Difference
48(1)
Simulation Results
49(2)
Conclusion
51(1)
References
51(1)
A Fuzzy Controller for the Real Time Supervision of Nuclear Power Reactors
52(13)
Mohand Si Fodil
Francois Guly
Patrick Siarry
Jean Luc Tyran
Introduction
52(1)
Control Methods
53(1)
Working Method
53(1)
The Fuzzy Logic Controller
54(6)
Control Board of the Reactor
60(1)
Conclusion
61(4)
References
63(2)
Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor
65(18)
Da Ruan
Xiaozhong Li
Gert Van den Eynde
Introduction
65(2)
Fuzzy Control
67(2)
PID Control
69(1)
Advanced Fuzzy Control
69(6)
Comparative Study
75(1)
Conclusion
76(7)
References
80(3)
Controlling Neutron Power of a TRIGA Mark III Research Nuclear Reactor with Fuzzy Adaptation of the Set of Output Membership Functions
83(32)
Jorge S. Benitez-Read
Daniel Velez-Diaz
Introduction
84(2)
Adaptation of Output Membership Functions in a Fuzzy Controller
86(11)
Application of the SOMF Fuzzy Generation Method to a Research Nuclear Reactor
97(11)
Results and Conclusions
108(7)
References
111(4)
NPP Operator Support in Decision Making - Diagnostics of the Operation Failures Using Fuzzy Logic
115(20)
Ivan Petruzela
Use of Artificial Intelligence Methods in the Control of Complex Technological Systems
115(4)
A Proposal for a System to Support the Operator during NPP Operation in Frequency Control
119(5)
Measuring Errors and Their Minimisation Using Estimation Methods
124(6)
Fuzzy System of Automatic Failure Classification
130(4)
Conclusion
134(1)
References
134(1)
Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory
135(18)
Jin Yeong Yang
Kun Jai Lee
Introduction
135(1)
Fuzzy Algorithm
136(2)
Goal Programming
138(4)
System Modeling
142(5)
Results and Discussion
147(4)
Conclusion
151(2)
References
152(1)
A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management
153(19)
Pierre Kunsch
Antonio Fiordaliso
Philippe Fortemps
Introduction
153(1)
The Conventional Approach of Economic Calculus
154(1)
The Nature of Contingency Factors in Radioactive Waste Management
155(2)
A Fuzzy Approach for Radioactive Waste Management Funding
157(5)
Results
162(8)
Conclusions
170(2)
References
171(1)
Neuro-Fuzzy Control Applications in Pressurized Water Reactors
172(36)
Man Gyun Na
Introduction
172(2)
Neuro-Fuzzy Control Methods
174(10)
Application to the Steam Generator Level Control
184(9)
Application to the Power Distribution Control
193(11)
Conclusions
204(4)
References
205(3)
Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants
208(27)
Davide Roverso
Introduction
208(1)
Related Work
209(2)
Neural Models for Transient Classification in ALADDIN
211(10)
Case Study 1: Simulated BWR Events
221(8)
Case Study 2: PWR Plant Islanding Events
229(3)
Future Developments
232(3)
References
233(2)
Neural Networks in Signal Processing
235(23)
Rekha Govil
Introduction
235(4)
The Use of ANN for Signal Processing
239(2)
Dynamic Modeling
241(1)
Model Based ANN's for Image Processing
242(1)
Statistical Learning Networks
243(2)
ANN for Eigen-Structure-Based Signal Processing
245(1)
The Functional Link ANN
246(2)
Active Learning
248(1)
Optical Signal Processing
248(2)
Superconducting Neural Networks
250(1)
Neural Networks in Signal Processing Applications
250(2)
Future Challenges in Neural Networks Signal Processing
252(6)
References
254(4)
Application of Neural Networks in Reactor Diagnostics and Monitoring
258(27)
I. Pazsit
N. S. Garis
P. Linden
Introduction
258(2)
Determination of Axial Control Rod Elevation from the Measured Flux Shape with Neural Networks
260(4)
Localisation of a Vibrating Control Rod from Neutron Noise Measurements
264(6)
Choice of Input Data Representation
270(1)
Investigation of the Erroneous Identifications of the Trained Network
271(1)
Determination of Mass Flow of Water with Pulsed Neutron Activation and Neural Networks
272(10)
Conclusions
282(3)
References
283(2)
Regularization Methods for Inferential Sensing in Nuclear Power Plants
285(30)
J. Wesley Hines
Andrei V. Gribok
Ibrahim Attieh
Robert E. Uhrig
Introduction
285(4)
Methodology
289(5)
Results
294(14)
Conclusions
308(7)
References
310(5)
Genetic Algorithms Applied to Nuclear Reactor Design Optimization
315(20)
C.M.N.A. Pereira
R. Schirru
A.S. Martinez
Introduction
315(1)
The Genetic Algorithm Search Paradigm
316(1)
A Simple Nuclear Reactor Design Optimization Problem
317(1)
The Genetic Algorithm Implementation
318(2)
Application of the Genetic Algorithm to the Simple Problem
320(6)
The Robustness of the GA
326(6)
Conclusions
332(3)
References
333(2)
Genetic Algorithms Applied to the Nuclear Power Plant Operation
335(16)
R. Schirru
C.M.N.A. Pereira
A.S. Martinez
Introduction
335(1)
PWR's Fuel Management Optimization Using Genetic Algorithm
336(4)
Genetic Algorithm in the Optimization of a Centroids Based Diagnosis System
340(11)
References
349(2)
Reactor Controller Design Using Genetic Algorithms with Simulated Annealing
351(13)
Kadir Erkan
Erhan Butun
Introduction
351(1)
Discrete-Time Model of the Reactor
352(1)
Controller Design
353(2)
Trajectory
355(1)
Genetic Algorithms for Parameter Estimation
355(4)
Simulated Annealing
359(1)
Simulation Results
360(2)
Conclusion
362(2)
References
362(2)
Logic-Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications
364(32)
Y.-S. Hu
M. Modarres
Hierarchy -- the Nature of Complexity
364(3)
The GTST-DMLD Hierarchy Modeling
367(10)
Application of DMLD to Nuclear Plant Direct Containment Heating Phenomenon
377(11)
Analysis of DCH Using DML-US 98 Software
388(3)
Other Areas of GTST-DMLD Applications
391(1)
Conclusions
392(4)
References
394(2)
Continued Fractions in Time Series Forecsting
396(17)
Andrew Zardecki
Introduction
396(1)
Continued Fractions
397(3)
Ergodic Properties of Continued Fractions
400(5)
Time Series Coding
405(1)
Numerical Results
406(5)
Conclusions
411(2)
References
411(2)
A Possibilistic Approach to Target Classification
413(19)
Albert G. Huizing
Frans C.A. Groen
Introduction
413(1)
Problem Formulation
414(2)
Target Classification
416(4)
Performance Criterion
420(1)
A Case Study
421(8)
Conclusions
429(3)
References
430(2)
From FUELCON to FUELGEN: Tools for Fuel Reload Pattern Design
432(17)
E. Nissan
A. Galperin
J. Zhao
B. Knight
A. Soper
A Description of the Domain and of the Task
432(6)
A Taxonomy
438(7)
Further Considerations on FUELGEN
445(4)
References
446(3)
Diagnosis of Unanticipated Plant Component Faults in a Portable Expert System
449(28)
Jaques Reifman
Thomas Y. C. Wei
Introduction
449(2)
Diagnostic Methodology
451(6)
Knowledge Bases
457(10)
Simulation Tests
467(7)
Discussion
474(3)
References
475(2)
Subject Index 477

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