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Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory
This study is concerned with the applications of linear goal programming and fuzzy theory to the analysis of management and operational problems in...
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Neural Networks in Signal Processing
Nuclear Engineering has matured during the last decade. In research & design, control, supervision, maintenance and production, mathematical models...
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A Fuzzy Controller for the Real Time Supervision of Nuclear Power Reactors
We describe the development of a real time fuzzy controller aimed at an adequate core axial power distribution inside a pressurized water reactor...
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Diagnosis of Unanticipated Plant Component Faults in a Portable Expert System
We describe the first-principles-based PRODIAG expert system for on-line plant-level diagnosis of component faults in thermal-hydraulic processes....
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Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor
In the framework of the on-going R&D project on fuzzy control applications to the Belgian Reactor I (BR1) at the Belgian Nuclear Research Centre...
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NPP Operator Support in Decision Making — Diagnostics of the Operation Failures Using Fuzzy Logic
In large complex systems such as nuclear power plants (NPP) and chemical industry plants, various subsystems fulfil the needs of process control and...
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Fuzzy Systems and Soft Computing in Nuclear Engineering
Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths. Applications of these...
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Genetic Algorithms Applied to the Nuclear Power Plant Operation
Nuclear power plant operation often involves very important human decisions, such as actions to be taken after a nuclear accident/transient, or...
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Logic-Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications
Most complex systems are best represented in the form of a hierarchy. The Goal Tree Success Tree and Master Logic Diagram (GTST-MLD) are proven...
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Reactor Controller Design Using Genetic Algorithms with Simulated Annealing
This chapter presents a digital control system for ITU TRIGA Mark-II reactor using genetic algorithms with simulated annealing. The basic principles...
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Neuro-Fuzzy Control Applications in Pressurized Water Reactors
In large-scale systems like nuclear systems, automation frees operators from vigilance over routine and tedious tasks by emulating the human...
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A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management
This chapter illustrates a fuzzy inference system (FIS) developed to assist the economic calculus in radioactive waste management (RWM). The extended...
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Genetic Algorithms Applied to Nuclear Reactor Design Optimization
A genetic algorithm is a powerful search technique that simulates natural evolution in order to fit a population of computational structures to the...
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Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants
In this chapter the problem of identing events in dynamic processes (e.g., faults, anomalous behaviours, etc.) is tackled with soft computing...
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From FUELCON to FUELGEN: Tools for Fuel Reload Pattern Design
FUELGEN is an effective tool for refuelling design, i.e., for solving the in-core fuel management problem at nuclear power plants. Devising good...
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Application of Neural Networks in Reactor Diagnostics and Monitoring
This chapter gives an account of the use of neural network techniques in reactor diagnostics and monitoring through a few concrete examples of...
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A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes
In this chapter, we describe a set of fuzzy systems which automate the manual part of procedures being used in the reactor operations for PWR-type...