@article{1454957,
      recid = {1454957},
      author = {Kim, Jonghyun, and Lee, Seungjun, and Seong, Poong Hyun,},
      title = {Autonomous nuclear power plants with artificial  intelligence /},
      pages = {1 online resource (271 pages) :},
      abstract = {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.},
      url = {http://library.usi.edu/record/1454957},
      doi = {https://doi.org/10.1007/978-3-031-22386-0},
}