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Autonomous Nuclear Power Plants with Artificial Intelligence / by Jonghyun Kim, Seungjun Lee, Poong Hyun Seong

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Energy ; 94Publisher: Cham : Springer International Publishing, 2023Publisher: Cham : Imprint: Springer, 2023Edition: 1st ed. 2023Description: 1 Online-Ressource(XVI, 269 p. 170 illus., 137 illus. in color.)ISBN:
  • 9783031223860
Subject(s): Additional physical formats: 9783031223853 | 9783031223877 | 9783031223884 | Erscheint auch als: 9783031223853 Druck-Ausgabe | Erscheint auch als: 9783031223877 Druck-Ausgabe | Erscheint auch als: 9783031223884 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-22386-0Online resources: Summary: Introduction -- Artificial Intelligence and Methods -- Signal Validation -- Diagnosis -- Prediction.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.PPN: PPN: 1837692432Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENE | ZDB-2-SXEN
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