Autonomous Nuclear Power Plants with Artificial Intelligence
Produktnummer:
1861f14c27e83e4dddb0bb5a363ab58a57
Autor: | Kim, Jonghyun Lee, Seungjun Seong, Poong Hyun |
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Themengebiete: | Accident Diagnosis Artificial Intelligence Autonomous Control Autonomous Operation Human-Automation Interaction Nuclear Power Plants On-line Monitoring Operator Support System Real Time Prediction of Plant Behaviour |
Veröffentlichungsdatum: | 21.02.2023 |
EAN: | 9783031223853 |
Sprache: | Englisch |
Seitenzahl: | 269 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Produktinformationen "Autonomous Nuclear Power Plants with Artificial Intelligence"
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.Integrationinto 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.

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