Autonomous Nuclear Power Plants with Artificial Intelligence
Author | : Jonghyun Kim |
Publisher | : Springer Nature |
Total Pages | : 280 |
Release | : 2023-02-20 |
ISBN-10 | : 9783031223860 |
ISBN-13 | : 3031223861 |
Rating | : 4/5 (60 Downloads) |
Download or read book Autonomous Nuclear Power Plants with Artificial Intelligence written by Jonghyun Kim and published by Springer Nature. This book was released on 2023-02-20 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.