[PDF] Application Of Artificial Intelligence To The Operation Of Nuclear Power Plants eBook

Author : Jonghyun Kim
Publisher : Springer Nature
Page : 280 pages
File Size : 39,43 MB
Release : 2023-02-20
Category : Technology & Engineering
ISBN : 3031223861

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This book introduces novel approaches and practical examples of autonomous nuclear power plants that minimize operator intervention. Autonomous nuclear power plants with artificial intelligence presents a framework to enable nuclear power plants to autonomously operate and introduces artificial intelligence (AI) techniques to implement its functions. Although nuclear power plants are already highly automated to reduce human errors and guarantee the reliability of system operations, the term “autonomous” is still not popular because AI techniques are regarded as less proven technologies. However, the use of AI techniques and the autonomous operation seems unavoidable because of their great advantages, especially, in advanced reactors and small modular reactors. The book includes the following topics: Monitoring, diagnosis, and prediction. Intelligent control. Operator support systems. Operator-autonomous system interaction. Integration into the autonomous operation system. This book will provides useful information for researchers and students who are interested in applying AI techniques in the fields of nuclear as well as other industries. This book covers broad practical applications of AI techniques from the classical fault diagnosis to more recent autonomous control. In addition, specific techniques and modelling examples are expected to be very informative to the beginners in the AI studies.

Author : M. Catherine Majumdar
Publisher : Springer
Page : 936 pages
File Size : 12,99 MB
Release : 1988-10
Category : Computers
ISBN :

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This conference brought together experts from 15 countries to discuss application of Artificial Intelligence (AI) techniques to the nuclear industry. It was apparent from the meeting that even those active in the field were surprised at the extent of work and the progress made. There was a strong impression that application of this technology to nuclear power plants is inevitable. The benefits to improved operation, design, and safety are simply too significant to be ignored. This is a much different conclusion than might have been reached a few years ago when the technology was new and people were struggling to understand its significance. We believe that this meeting reflects a major turning point for the technology. It has moved from being a topic understood only by specialists to a situation where users are the most active people in the field. A broad array of innovative work is described from all of the participating countries. The activity in the u.s. is large and diverse. Although there is no nationally focussed policy for AI research in the U.S., many of these activities are reported here. Japan and France have a strong drive to integrate AI technology into their nuclear plants, and this is reflecteq in these proceedings.

Author :
Publisher :
Page : 28 pages
File Size : 48,34 MB
Release : 1989
Category :
ISBN :

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In the summer of 1988, the Department of Nuclear Engineering (NE) at the University of Tennessee (UT) in Knoxville was selected to carry out a research program in ''Enhancing the Operation of Nuclear Power plants through the use of Artificial Intelligence, This program is sponsored by the Department of Energy's Office of Energy Research under 10CFR605 for Nuclear Engineering Research. The objective of the research is to advance the state-of-the-art of nuclear power plant control, safety, management, and instrumentation systems through the use of artificial intelligence (AI) techniques, including both expert systems and neural networks. The emphasis will be placed on methods that can be implemented on a rapid or real-time basis. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence, field that can be brought to bear on the technology of nuclear power plants. Both of these goals are being met. This overview and the attached technical reports describe the work that is being carried out. Although in some cases, the scope of the work differs somewhat from the specific tasks described in the original proposal, all activities are clearly within the overall scope of the contract.

Author :
Publisher :
Page : 28 pages
File Size : 12,89 MB
Release : 1989
Category :
ISBN :

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In the summer of 1988, the Department of Nuclear Engineering (NE) at the University of Tennessee (UT) in Knoxville was selected to carry out a research program in Enhancing the Operation of Nuclear Power plants through the use of Artificial Intelligence, This program is sponsored by the Department of Energy's Office of Energy Research under 10CFR605 for Nuclear Engineering Research. The objective of the research is to advance the state-of-the-art of nuclear power plant control, safety, management, and instrumentation systems through the use of artificial intelligence (AI) techniques, including both expert systems and neural networks. The emphasis will be placed on methods that can be implemented on a rapid or real-time basis. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence, field that can be brought to bear on the technology of nuclear power plants. Both of these goals are being met. This overview and the attached technical reports describe the work that is being carried out. Although in some cases, the scope of the work differs somewhat from the specific tasks described in the original proposal, all activities are clearly within the overall scope of the contract.

Author : Da Ruan
Publisher : Springer
Page : 386 pages
File Size : 27,43 MB
Release : 2010-12-06
Category : Technology
ISBN : 9783642077548

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Edited book reporting recent results in AI research in power plant surveillance and diagnostics. High quality and applicability of the contributions through a thorough peer-reviewing process. Condition Monitoring and Early Fault Detection provide for better efficiency of energy systems, at lower costs. Inhalt Featured Topics: Analysis of important issues relating to specification, development and use of systems for computer-assisted plant surveillance and diagnosis.- Empirical and analytical methods for on-line calibration monitoring and data reconciliation.- Noise analysis methods for early fault detection, condition monitoring, leak detection and loose part monitoring.- Predictive maintenance and condition monitoring techniques.- Empirical and analytical methods for fault detection and recognition.

Author : John A. Bernard
Publisher :
Page : 276 pages
File Size : 33,36 MB
Release : 1989
Category : Computers
ISBN :

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This monograph provides both a compilation and a critical review of the ways expert systems can be applied to the design, management, and operation of research, test, and commercial power reactors. The applications are identified and assessed relative to the capability of the technology. Specific systems are also examined in detail. Almost 300 expert systems are described, grouped under more than 60 different applications.