Autonomous Algorithm for Safety Systems of the Nuclear Power Plant by Using the Deep Learning

Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications—A Systemic Review

“…Content may change prior to final publication. [160] Colored Petri Nets [193], [197], [198] Tree Methods [50], [200] Unsupervised Learning [161], [181] Fuzzy Methods [159], [182]- [189], [192], [195], [201] Other Models/Algorithms Physical Plant-centered [39], [53], [86]- [88], [123], [127]- [129], [150], [175], [193] Cyber System Layer & Physical System Layer ANN [105], [160] Fuzzy Colored Petri Nets (FCPN) [106] Reinforcement Learning (RL) [107], [108], [134]- [137] Recurrent Neural Network (RNN) [95], [97], [138], [138], [139], [146] Convolutional Neural Network (CNN) [140]- [142] Deep Belief Network [90], [121] SVM [118], [119], [122] Tree Methods [124]-…”

“…The automation level of NPP safety functions has not yet reached autonomous control, and operator intervention is very important in a large part of the control. Based on deep learning, an autonomous algorithm is developed to control the safety system of NPP, which can perform system analysis on power plant systems and realize the high degree of automation of the nine safety functions of NPPs [53]. However, the use of network and information technology has brought new threats and challenges to nuclear security, namely information security.…”

“…Though it could enhance self-operating, self-managing, and selfprotecting ability, the framework itself lacks the capability of advanced intelligent control as well as the ability to process numerous data during actual operation. Lee and Kim [53], however, applied a multi-system deep learning network in the function-based hierarchical framework of the NPP safety system so as to enable the systematic analysis and automated control of the power plant safety system. An intelligent control framework, which is part of the architecture of smart NPPs, is proposed based on secure embedded intelligence (SEI) [111] where operations such as remote operations, autonomous control are available.…”

Modeling of Development Scenarios of Critically Important Objects for Support of Adoption of Scientifically Based Decisions

“…Therefore the problem of ensuring security of CIO and the population from influence of such factors as the negative impact of natural, technogenic and terrorist character and/or loss of their management is relevant, and development of models, methods, algorithms for development of scientifically based decisions on steady functioning of CIO and to decision-making in problem situations is the important direction of modern applied modeling to which enough works in Russia and abroad is devoted [1][2][3][4][5].…”

Methods, strategies and application cases for robotic telemanipulation in hazardous environments

“…The software can implement several RH functionalities, such as move the robot to a defined position, develop bilateral control, detect the obstacles, automatically recognise risks, etc [11], [96]- [98]. When the software is ready, this must be integrated with the equipment hardware, and after that testing and verification must demonstrate a correct and robust implementation.…”