Autonomous nuclear power plants with artificial intelligence / Jonghyun Kim, Seungjun Lee, Poong Hyun Seong.
2023
TK1078 .K56 2023
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Title
Autonomous nuclear power plants with artificial intelligence / Jonghyun Kim, Seungjun Lee, Poong Hyun Seong.
Author
ISBN
9783031223860 electronic book
3031223861 electronic book
3031223853
9783031223853
3031223861 electronic book
3031223853
9783031223853
Published
Cham, Switzerland : Springer, [2023]
Language
English
Description
1 online resource (271 pages) : illustrations (black and white, and colour).
Item Number
10.1007/978-3-031-22386-0 doi
Call Number
TK1078 .K56 2023
Dewey Decimal Classification
621.48/3028563
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Source of Description
Description based on online resource; title from digital title page (viewed on March 09, 2023).
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Series
Lecture notes in energy ; 94.
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Table of Contents
Introduction
Artificial Intelligence and Methods
Signal Validation
Diagnosis
Prediction.
Artificial Intelligence and Methods
Signal Validation
Diagnosis
Prediction.