Abstract
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.
Visiting scientist at the OECD Halden Reactor Project (April 2001-September 2002)
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References
Akin HL, Altin V (1991) Rule-based fuzzy logic controller for a PWR-type nuclear power plant, IEEE Transaction on Nuclear Science 38 (2): 883–890
Aleksander I, Morton H (1990) Introduction to Neural Computing,North Oxford Press
Arul AJ (1994) Reactivity surveillance in a nuclear reactor by using a layered artificial neural network, Nuclear Science and Engineering 117: 186–193
Basu A, Bartlett EB (1994) Detecting faults in a nuclear power plant by using dynamic node architecture artificial neural networks, Nuclear Science and Engineering 116: 313–325
Beale R, Jackson T (1994) Neural Computing-an Introduction, Aam Hilger, Bristol
Bernard JA (1988) Use of a rule-based system for process control, IEEE Control Systems Magazine 8 (5): 3–13
Bubak M, Moscinski J (1983) A fuzzy-logic approach to HTR nuclear power plant model control, Annals of Nuclear Energy 10 (9): 467–471
Cho BH, No HC (1996) Design of stability-guaranteed fuzzy logic controller for nuclear steam generators, IEEE Transaction on Nuclear Science 43 (2): 716–730
Cox E (1994) The Handbook of Fuzzy Systems, Academic Press, New York
Cheon SW, Chang SH (1993) Application of neural networks to a connectionist expect system for transient identification in nuclear power plants, Nuclear Technology 102: 177–191
Davis L (1991) Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York
Fantoni PF (2000) A neuro-fuzzy model applied to full range signal validation of PWR nuclear power plant data, International Journal of General Systems 29 (2): 305–320
Garis NS, Pazsit I (1999) Control rod localization with neural networks using a complex transfer function, Progress in Nuclear Energy 34 (1): 87–98
Goldberg DE (1989) Genetic Algorithms in Search Optimization and Machine Learning,Addison-Wesley
Gencay S (1991) Site selection for nuclear plants using fuzzy decision analysis, Kerntechnik 56 (5): 320–327
Guo Z, Uhrig R (1992) Use of artificial neural networks to analyze nuclear power plant performance, Nuclear Technology 99: 36–42
Guth MAS (1989) Some uses and limitations of fuzzy logic in artificial intelligence reasoning for reactor control, Nuclear Engineering and Design 113: 99–109
Hah YJ, Lee BW (1994) Fuzzy power control algorithm for a pressurized water reactor, Nuclear Technology 106: 242–253
Heger AS, Alang-Rashid NK, Jamshidi M (1995) Application of fuzzy logic in nuclear reactor control. Part I: an assessment of state-of-the-art, Nuclear Safety 36 (1): 109–121
Hertz J, Krogh A, Palmer RG (1991) Introduction to the Theory of Neural Computation,Addision-Wesley Publishing Company
Holbert KE, Sharif Heger A, Alang-Rashid NK (1994) Redundant sensor validation by using fuzzy logic, Nuclear Science and Engineering 118: 54–64
Holland JH (1975) Adaptation in Natural and Artificial Systems,Ann Arbor, University of Michigan IFE (2000) Annual Repoprt
Iijima T, Nakajima Y., Nishiwaki Y (1995) Application of fuzzy logic control systems for reactor feed-water control, Fuzzy Sets and Systems 74 (1): 61–72
Jung CH, Ham CS, Lee KL (1995) A real time self tuning fuzzy controller for the steam generator through scaling factor adjustment for the steam generator of NPP, Fuzzy Sets and Systems 74 (1): 53–60
Jouse WC, Williams JG (1993) Safety control of nuclear power operations using self-programming neural networks, Nuclear Science and Engineering 114: 42–54
Ikonomopoulos A, Tsoukalas LH, Uhrig RE (1993) Integration of neural networks with fuzzy reasoning for measuring operational parameters in a nuclear reactor, Nuclear Technology 104: 1–12
Kavaklioglu K, Upadhyaya BR (1994) Monitoring feedwater flow rate and component thermal performance of pressurized water reactors by means of artificial neural networks, Nuclear Technology 107: 112–123
Kim HG, Chang SH, Lee BH (1993) Pressurized water reactor core parameter prediction using an artificial neural network, Nuclear Science and Engineering 113: 70–76
Kim HK, Lee SH, Chang SH (1993b) Neural network model for estimating departure from nucleate boiling performance of a pressurized water reactor core, Nuclear Technology 101: 111–122
Kim HG, Chang SH, Lee BH (1993c) Optimal fuel loading pattern design using an artificial neural network and a fuzzy rule-based system, Nuclear Science and Engineering 115, 152–163
Kim K, Bartlett EB (1994) Error prediction for a nuclear power plant fault-diagnostic advisor using neural networks, Nuclear Technology 108: 283–297
Kim DY, Seong PH (1997) Fuzzy gain scheduling of velocity PI controller with intelligent learning algorithm for reactor control, Annals of Nuclear Energy 24 (10): 819–827
Klir GJ, Yuan B (1995) Fuzzy Sets and Fuzzy Logic,Prentice-Hall Inc.
Kuan CC, Lin C, Hsu CC (1992) Fuzzy logic control of steam generator water level in pressurized water reactors, Nuclear Technology 100: 125–134
Li X, Ruan D, van der Wal AJ (1998) Discussion on soft computing, International Journal of Intelligent Systems 13 (2/3), 287–300
Lin C, Yang DH (1998) Design of a fuzzy logic controller for water level control in an advanced boiling water reactor based on input-output data, Nuclear Technology 122: 318–329
Lin TY, Wildberger AM (eds) (1994) Soft Computing,the Third International Workshop on Rough Sets and Soft Computing (RSSC94), California
Marseguerra M, Zio E (1994) Fault diagnosis via neural networks: the Boltzmann machine, Nuclear Science and Engineering 117: 194–200
Marseguerra M, Ricotti ME, Zio E (1996) Neural network-based fault detection in a pressurized water reactor pressurizer, Nuclear Science and Engineering 124: 339–348
Matsuoka H (1991) A simple fuzzy simulation model for nuclear reactor system dynamics, Nuclear Technology 94: 228–241
Na N, Kwon K, Ham C, Bien Z (1995) A study on water level control of PWR steam generator at low power and the self-tuning of its fuzzy controller, Fuzzy Sets and Systems 74 (1): 43–51
Ohga Y, Seki, H (1993) Abnormal event identification in nuclear power plants using a neural network and knowledge processing, Nuclear Technology 101: 159–167
Park MG, Cho NZ (1995) Self-tuning control of a nuclear reactor using a Gaussian function neural network, Nuclear Technology 110: 285–293
Parlos AG, Atiya AF, Chong KT, Tsai WK (1992) Nonlinear identification of process dynamics using neural networks, Nuclear Technology 97: 36–42
Parlos AG, Muthusami J, Atiya AF (1994) Incipient fault detection and identification in process systems using accelerated neural network learning, Nuclear Technology 105: 145–161
Pereira CMNA, Schirm R, Martinez AS (2000) Genetic algorithms applied to nuclear reactor design optimization, in: Ruan D (ed) Fuzzy Systems and Soft Computing in Nuclear Engineering, Physica-Verlag, Heidelberg, pp 315–334
Reifman J, Vitela JE (1994) Accelerating learning of neural networks with conjugate gradients for nuclear power plant applications, Nuclear Technology 106: 225–241
Ramaswamy P, Edwards RM, Lee KY (1993) An automatic tuning method of a fuzzy logic controller for nuclear reactors, Transactions on Nuclear Science 40 (4): 1253–1262
Roh MS, Cheon SW, Chang SH (1991) Power prediction in nuclear power plants using a Back-Propagation learning neural network, Nuclear Technology 94: 270–278
Roverso D (2000) Soft computing tools for transient classification, Information Sciences 127 (3/4): 137–156
Ruan D (1995) Fuzzy logic in the nuclear research world, Fuzzy Sets and Systems 74 (1): 513
Ruan D (ed) (1996) Fuzzy Logic Foundations and Industrial Applications, Kluwer Academic Publishers, Boston
Ruan D (ed) (1997) Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms, Kluwer Academic Publishers, Boston
Ruan D, D’hondt P, Govaerts P, Kerre EE (eds) (1994) Fuzzy Logic and Intelligent Technologies in Nuclear Science, World Scientific, Singapore
Ruan D, D’hondt P, Govaerts P, Kerre EE (eds) (1996) Intelligent Systems and Soft Computing for Nuclear Science and Industry, World Scientific, Singapore
Ruan D, Alt Abderrahim H, D’hondt P, Kerre EE (eds) (1998) Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry, World Scientific, Singapore
Ruan D, Alt Abderrahim H, D’hondt P, Kerre EE (eds) (2000) Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, World Scientific, Singapore
Ruan D (1998) Intelligent systems in nuclear applications, Int. J. of Intelligent Systems 13 (2/3): 115–125
Ruan D, van der Wal AJ (1998) Controlling the power output of a nuclear reactor with fuzzy logic, Information Sciences 110: 151–177
Ruan D, Li X, Van den Eynde G (1999) Adaptive fuzzy control for a simulation of hydraulic analogy of a nuclear reactor, in: Ruan, D (ed.) Fuzzy Systems and Soft Computing in Nuclear Engineering, Physica-Verlag, Heidelberg, pp 65–82
Ruan D (2001) Implementation of adaptive fuzzy control for a real-time control demo-model, Real-Time Systems 21: 219–239
Schirru R, Pereira CMNA, Martinez AS (2000) Genetic algorithms applied to nuclear power plant operation, in: Ruan D (ed) Fuzzy Systems and Soft Computing in Nuclear Engineering, Physica-Verlag, Heidelberg, pp 335–350
Tanabe A, Yamamoto T, Shinfuku K, Nakamae T (1993) Development of neural network for analysis of local power distributions in BWR fuel bundles, Journal of Nuclear Science and Technology 30 (8): 804–812
Thomas JR, Adams JT (1994) Noise analysis method for monitoring the moderator temperature coefficient of pressurized water reactors: neural network calibration, Nuclear Technology 107: 236–240
Tsoukalas L, Modarres M (1993) Artificial intelligence, expert systems, and fuzzy logic in nuclear technology, Transactions on America Nuclear Society 68: 133–139
Uhrig RE (1991) Potential application of neural networks to the operation of nuclear power plants, Nuclear Safety 32 (1): 68–79
Uhrig RE, Tsoukalas LH (1999) Soft computing techniques in nuclear engineering applications, Progress in Nuclear Energy 34 (1): 13–75
Upadhyaya BR, Eryurek E (1992) Application of neural networks for sensor validation and plant monitoring, Nuclear Technology 97: 170–176
Vitanza C (2001) Overview of the OECD Halden Reactor Project, Nuclear Engineering and Design 207: 207–221
Zadeh LA (1965) Fuzzy Sets, Information and Control 8 (3): 338–353
Zadeh LA (1981) Possibility theory and soft data analysis, In: Cobb L, Thrall RM (eds) Mathematical Frontiers of the Social and Policy Science, Westview Press, Boulder, Colorado, pp 69–129
Zadeh LA (1994) Fuzzy logic, neural networks, and soft computing, Communications of the ACM 37 (3): 77–83
Zadeh LA (1997) What is soft computing? Soft Computing 1: pl
Appendix A: Selected References from FLINS’94
Abrosimov VK, Verbin ES (1994) Principles of design for nuclear reactor safety system on the basis of neural network, in: (Ruan etal., 1994 ), pp 216–218
Alang-Rashid NK, Sharif Heger A (1994) Self-tuning fuzzy logic nuclear reactor controller, in: (Ruan etal., 1994), pp, 285–289
Averkin AA (1994) Fuzzy logic acquisition and simulation modules for expert systems to assist operator’s decision for nuclear power stations, in: (Ruan etal., 1994 ), pp 277–278
Chung HY, Bien Z (1994) Real-time diagnosis of incipient multiple faults with application for nuclear power plants in: (Ruan etal., 1994), pp 232–237
Gradetsky VG, Rizzotto G, Pagni A, Slesarev YV, Pospelov DA, Ul’yanov SV, Yamafuji K (1994) Principles of expert fuzzy controller design: AI mobile wall climbing robots for decontamination of nuclear power-station, in: (Ruan etal., 1994 ), pp 242–246
Lyapin B, Ryjov A (1994) A fuzzy linguistic interface for data bases in nuclear safety problems, in: (Ruan etal., 1994 ), pp 212–215
Orlovski SA, Integrated fuzzy cluster, choice, and knowledge acquisition technology in problem of nuclear safety, in: (Ruan etal., 1994), pp 271–273
Perfilyeva IG, Postnikov VV (1994) Two models for energy distribution control in the nuclear power plants, in: (Ruan etal., 1994 ), pp 274–276
Van den Durpel L, Ruan D (1994) Fuzzy model-based control of a nuclear reactor, in: (Ruan etal., 1994 ), pp 247–253
Appendix B: Selected References from FLINS’96
Carlsson C, Fullér R (1996) Problem-solving with multiple interdependent criteria: better solutions to complex problems in: (Ruan etal., 1996), pp 89–97
Chung HY, Park IS, Bien Z (1996) Improved method for incipient multiple fault diagnosis with application to nuclear power plant, in: (Ruan etal., 1996 ), pp 365–371
Galdoz EG, H.R. Fontanini HR, Tapia ER (1996) Integrating information in a real-time data visualization system on nuclear power plant, in: (Ruan etal., 1996 ), pp 395–400.
Guido PN, Oggianu S, Etchepareborda A, Fernandez 0 (1996) Expert environment for the development of nuclear power plants failure diagnosis systems, in: (Ruan etal., 1996 ), pp 395–400
Kozin IO, Petersen KE (1996) Obtaining reliability and safety assessments on the basis of non-probabilistic methods, in: (Ruan etal., 1996 ), pp 250–257
Liu X, Ruan D (1996) Application of fuzzy decision making to countermeasure strategies after a nuclear accident, in: (Ruan etal., 1996 ), pp 308–315
Liu Z, Ruan D (1996) Experiments of fuzzy logic control on a nuclear research reactor, in: (Ruan etal., 1996 ), pp 336–348
Modarres M (1996) Functional modelling for integration of human-softwarehardware in complex physical systems, in: (Ruan etal., 1996 ), pp 189–204
Moon BS, Lee J (1996) A fuzzy control algorithm for a mobile robot to move pass obstacles, in: (Ruan etal., 1996 ), pp 329–335
Na NJ, Kim IS, Kim JT, Hwang IK, Lee DY, Ham CS (1996) AI-based alarm processing for a nuclear power plant, in: (Ruan etal., 1996 ), pp 388–394
Schildt GH (1996) A fuzzy controller for NPPs, in: (Ruan etal., 1996 ), pp 379–387
Schoonewelle H, van der Hagen THJJ, Hoogenboom JE (1996) Process monitoring by combining several signal-analysis results using fuzzy logic, in: (Ruan etal., 1996 ), pp 316–322
Sharif Heger A, Jamshidi M, Alang-Rashid NK (1996) Self-tuning fuzzy logic nuclear reactor controller, in: (Ruan etal., 1996 ), pp 349–358
Smets P (1996) Applying the transferable Belief model to diagnostic problems, in: (Ruan etal., 1996), pp, 285–292
Oh YG, Hong HP, Han SJ, Chun CS, Kim BK (1996) Fuzzy logic utilization for the diagnosis of metallic loose part impact in nuclear power plants, in: (Ruan etal., 1996 ), pp 372–378
Onisawa T (1996) System reliability analysis with natural language and expert’s subjectivity, in: (Ruan etal., 1996 ), pp 243–249
Wang PP, Gu XL (1996) Intelligent engineering and technology for nuclear power plant operation, in: (Ruan etal., 1996 ), pp 359–364
Zimmermann HJ (1996) Fuzzy algorithmic and knowledge-based decision support in nuclear engineering, in: (Ruan etal., 1996 ), pp 1–8
Appendix C: Selected References from FLINS’98
Baek S, Park DS, Cho J, Lee YB (1998) A robot endeffector tracking system based on feedforward neural network, in: (Ruan etal., 1998 ), pp 324–331
Benedikt J, Nishiwaki Y (1998) A fuzzy clustering application to land use classification in satellite images, in: (Ruan etal., 1998 ), pp 368–375
Brendeford TS, Bye A, Hollnagel E, Hoffmann M (1998) FAME–a tool for function allocation in NPP control rooms, in: (Ruan etal., 1998 ), pp 444–450
C4] Bjerlo TJ, Berg 0 (1998) Development of plant surveillance and operations systems at the OECD Halden reactor project, in: (Ruan etal., 1998), pp 435–443
Cai D, McTear MF, McClean SI (1998) Risk analysis in distributed databases using evidence theory, in: (Ruan etal., 1998 ), pp 179–186
Chien SI, Nam SW, Lee NH, Lee YB (1998) Stroke based gesture recognition using polhemus sensor for remote work monitoring, in: (Ruan etal., 1998 ), pp 310–317
Dahll G, Gran BA (1998) The use of Bayesian belief nets in safety assessment of software based systems, in: (Ruan etal., 1998 ), pp 187–194
Decreton M, De Geeter J, Colon E (1998) The challenges for telerobotics in a nuclear environment, in: (Ruan etal., 1998 ), pp 467–474
Erkan K, Büt in E, Can B (1998) Triga Mark-II reactor controller design using genetic algorithm, in: (Ruan etal., 1998 ), pp 400–407
Espinosa J, Vandewalle J (1998) Predictive control using fuzzy models applied to a steam generating unit, in: (Ruan etal., 1998 ), pp 151–160
Fantoni PF, Figedy S, Racz A, Papin B (1998) A neuro-fuzzy model applied to full range signal validation of PWR nuclear power plant data, in: (Ruan etal., 1998 ), pp 451–458
Gregoire E, Saïs L (1998) Practical inconsistency management for critical-tasks decision-support Systems, in: (Ruan etal., 1998 ), pp 384–391
Hardy LLE, Polanco EM, De La Vega DMG (1998) A small scale simulator of the pressurizer with expert system, in: (Ruan etal., 1998 ), pp 416–423
Kacprzyk J (1998) Multistage fuzzy control in some power engineering applications, in: (Ruan etal., 1998 ), pp 171–178
Kahraman C, Tolga E (1998) Nuclear energy and safety assessment, in: (Ruan etal., 1998 ), pp 345–352
Kästner W, Fenske A, Hampel R (1998) Improvement of the robustness of model-based measuring methods using fuzzy logic, in: (Ruan etal., 1998 ), pp 129–142
Li X, Ruan D (1998) Comparative study of fuzzy control, PID control, and advanced fuzzy control for simulating a nuclear reactor operation, in: (Ruan etal., 1998 ), pp 424–434
Moon BS, Lee YB (1998) A neural algorithm for moving control of mobile robots in an office hall, in: (Ruan etal., 1998 ), pp 318–323
Nissan E, Soper A, Zhao J, Knight B, Petridis M (1998) Fuel reload pattern design within a family of hybrid architectures, in: (Ruan etal., 1998 ), pp 408–415
Park HW, Yang HS, Park YP, Kim SH (1998) Position and vibration control of a flexible robot manipulator using fuzzy logic, in: (Ruan etal., 1998), pp, 302–309
Pilato V, Tola F, Martinez JM, Huver M (1998) Contribution of neural networks to nuclear measurements, in: (Ruan etal., 1998 ), pp 360–67
Roverso D, Fantoni PF (1998) ALADDIN: A neural classifier of fast transients for alarm filtering in nuclear power plants, in: (Ruan etal., 1998 ), pp 459–466
van der Wal AJ (1998) The importance of soft computing methods for military observation systems, in: (Ruan etal., 1998 ), pp 163–170
Zhang J, Schwert V, Knoll A (1998) Comprehensive fuzzy control of systems with complex sensor patterns, in: (Ruan etal., 1998 ), pp 286–293
Zhou C, Ruan D (1998) Integration of linguistic and numerical information for biped locomotion, in: (Ruan etal., 1998 ), pp 294–301
Zimmermann HJ (1998) Computational intelligence and nuclear engineering, in: (Ruan etal., 1998 ), pp 1–18
Appendix D: Selected References from FLINS 2000
Bien Z, Song WK (2000) Blend of soft computing techniques for effective human-machine interaction/interface in service robotic systems, in: (Ruan etal., 2000 ), pp 35–42
Castillo O, Melin P (2000) Intelligent adaptive model-based control of robotic dynamic systems with a new hybrid neuro-fuzzy-fractal approach, in: (Ruan etal., 2000 ), pp 351–358
Costa Nunes ME, Pereira CMNA, Frutuoso e Melo PF (2000) Optimization of the device of stages through genetic algorithms for non-Markovian systems reliabillity evaluation: an application to nuclear safety systems, in: (Ruan etal., 2000 ), pp 527–534
Fantoni PF, Hoffmann M, Nystad BH, De Oliveira MV (2000) Integration of sensor validation in modern control room alarm systems, in: (Ruan etal., 2000), pp 462–469
Guan JW, Bell DA (2000) Knowledge discovery for controlling nuclear power plants, in: (Ruan etal., 2000 ), pp 429–436
Gomez-Ortega J, Ramirez DR, Limon D, Camacho EF (2000) Predictive mobile robot navigation using soft computing techniques, in: (Ruan etal., 2000 ), pp 335–342
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, 319–326
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 504–511
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 519–526
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 359–368
Na MG, Yang WS, Choi H (2000) A CANDU fuel pin power reconstruction using an adaptive fuzzy inference system, in: (Ruan etal., 2000 ), pp 437–444
Ortiz JJ, Requena I (2000) Optimization of fuel reload for a BWR using neural networks and genetic algorithms, in: (Ruan etal., 2000 ), pp 512–518
Oussalah M, De Schutter J (2000) Noise identification and its influence on Kalman filter divergence, in: (Ruan etal., 2000 ), pp 80–86
Park HS, Kim K, Kim GN, Shon JS, Bae KK (2000) A study on the incipient fault diagnosis of a radwaste solar evapolation processing system using a neural network, in: (Ruan etal., 2000 ), pp 488–495
Petruzela I (2000) Fuzzy system of automatic failure classification, in: (Ruan etal., 2000 ), pp 455–461
Roverso D (2000) Wavelet-based recurrent neural networks for transient classification, in: (Ruan etal., 2000 ), pp 496–503
Si Fodil M, Siarry P, Tyran JL (2000) Optimization of the number of fuzzy rules towards a better temperature control of nuclear reactors, in: (Ruan etal., 2000 ), pp 445–454
Sorf M, Jankù L, Lhotskâ L, Eck V (2000) Application of expert system and machine learning approach to intelligent man-machine interface, in: (Ruan etal., 2000 ), pp 191–200
Zhou C, Kanniah J, Meng Q (2000) Intelligent robotic control using reinforcement learning agents with fuzzy evaluative feedback, in: (Ruan etal., 2000 ), pp 327–334
Zimmermann HJ (2000) Dynamic fuzzy data analysis and uncertainty modeling in engineering, in: (Ruan etal., 2000 ), pp 3–15
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Ruan, D. (2002). Modern Approaches and Advanced Applications for Plant Surveillance and Diagnostics: An Overview. In: Ruan, D., Fantoni, P.F. (eds) Power Plant Surveillance and Diagnostics. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04945-7_1
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