Fuzzy Systems and Soft Computing in Nuclear Engineering

ISBN-13: 9783790812510 / Angielski / Twarda / 1999 / 480 str.

Da Ruan; Da Ruan

Opis

Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths. Applications of these techniques in nuclear engineering present a tremendous challenge due to its strict nuclear safety regulation. The fields of nuclear engineering, fuzzy systems and soft computing have nevertheless matured considerably during the last decade. This book presents new application potentials for Fuzzy Systems and Soft Computing in Nuclear Engineering. The root of this book can be traced back to the series of the first, second and third international workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FUNS), which were successfully held in Mol, September 14-16, 1994 (FLINS'94), in Mol, September 25-27, 1996 (FLINS'96), and in Antwerp, September 14-16, 1998 (FLINS'98). The conferences were organised by the Belgian Nuclear Research Centre (SCKeCEN) and aimed at bringing together scientists, researchers, and engineers from academia and industry, at introducing the principles of fuzzy logic, neural networks, genetic algorithms and other soft computing methodologies, to the field of nuclear engineering, and at applying these techniques to complex problem- solving within nuclear industry and related research fields. This book, as its title suggests, consists of nuclear engineering applications of fuzzy systems (Chapters 1-10) and soft computing (Chapters 11-21). Nine pertinent chapters are based on the extended version of papers at FLINS'98 and the other 12 chapters are original contributions with up-to-date coverage of fuzzy and soft computing applications by leading researchers written exclusively for this book.

Spis treści

D. Ruan: Preface.- R. Hampel, W. Kästner, A. Fenske, B. Vandreier, S. Schefter: Analysis of Selected Structures for Model-Based Measuring Methods Using Fuzzy Logic.- B. Soo Moon: A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes.- M.S. Fodil, F. Guély, P. Siarry, J-L. Tyran: A Fuzzy Controller for the Real Time Supervision of Nuclear Power Reactors.- D. Ruan, X.Z. Li, G. Van den Eynde: Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor.- J.S. Benítez-Read, D. Vélez-Díaz: Controlling Neutron Power of a TRIGA Mark III Research Nuclear Reactor with Fuzzy Adaptation of the Set of Output Membership Functions.- I. Petruzela: NPP Operator Support in Decision Making - Diagnostics of the Operation Failures Using Fuzzy Logic.- J.Y. Yang, K.J. Lee: Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory.- P. Kunsch, A. Fiordaliso, P. Fortemps: A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management.- M.G. Na: Neuro-Fuzzy Control Applications in Pressurized Water Reactors.- D. Roverso: Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants.- R. Govil: Neural Networks in Signal Processing.- N.S. Garis, P. Lindén: Application of Neural Networks in Reactor Diagnosis and Monotoring.- J.W. Hines, A.V. Gribok, I. Attieh, R.E. Uhrig: Regularization Methods for Inferential Sensing in Nuclear Power Plants.- C.M.N.A. Pereira, R. Schirru, A.S. Martinez: Genetic Algorithms Applied to Nuclear Reactor Design Optimization.- R. Schirru, C.M.N.A. Pereira, A.S. Martinez: Genetic Algorithms Applied to the Nuclear Power Plant Operation.- K. Erkan, E. Bütün: Reactor Controller Design Using Genetic Algorithms with Simulated Annealing.- Y.-S. Hu, M. Modarres: Logic-Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications.- A. Zardecki: Continued Fractions in Time Series Forecasting.- A.G. Huizing , F.C.A. Groen: A Possibilistic Approach to Target Classification.- E. Nissan, A. Galperin, J. Zhao, B. Knight, A. Soper: From FUELCON to FUELGEN: Tools for Fuel Reload Pattern Design.- J. Reifman, T.Y.C. Wei: Diagnosis of Unanticipated Plant Component Faults in a Portable Expert System.