Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

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ID: 113715
2017
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Abstract
High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plants (NPPs). This technology not only reduces the cost of regular monitoring but also enables intelligent monitoring. In intelligent monitoring, large sets of heterogeneous data collected by the WSN can be used to optimize the operation and maintenance of the HTGR. In this paper, WSN-based intelligent monitoring schemes that are specific for applications of HTGR are proposed. Three major concerns regarding wireless technology in HTGR are addressed: wireless devices interference, cybersecurity of wireless networks, and wireless standards selected for wireless platform. To process nonlinear and non-Gaussian data obtained by WSN for fault diagnosis, novel algorithms combining Kernel Entropy Component Analysis (KECA) and support vector machine (SVM) are developed.
Reference Key
li2017usingscience Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li, Jianghai;Meng, Jia;Kang, Xiaojing;Long, Zhenhai;Huang, Xiaojin;
Journal science and technology of nuclear installations
Year 2017
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2017/3721578
Keywords
chemistry Biology (General) Engineering (General). Civil engineering (General) Information technology Biotechnology Technology Electrical engineering. Electronics. Nuclear engineering Science genetics mathematics

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