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

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 regu...

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Main Authors: Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long, Xiaojin Huang
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Science and Technology of Nuclear Installations
Online Access:http://dx.doi.org/10.1155/2017/3721578
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spelling doaj-00a769a2c90c4fe18c0d8c08759a61752020-11-24T22:04:08ZengHindawi LimitedScience and Technology of Nuclear Installations1687-60751687-60832017-01-01201710.1155/2017/37215783721578Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled ReactorJianghai Li0Jia Meng1Xiaojing Kang2Zhenhai Long3Xiaojin Huang4Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, ChinaChinergy Co., Ltd., Beijing, ChinaChinergy Co., Ltd., Beijing, ChinaChinergy Co., Ltd., Beijing, ChinaInstitute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, ChinaHigh-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.http://dx.doi.org/10.1155/2017/3721578
collection DOAJ
language English
format Article
sources DOAJ
author Jianghai Li
Jia Meng
Xiaojing Kang
Zhenhai Long
Xiaojin Huang
spellingShingle Jianghai Li
Jia Meng
Xiaojing Kang
Zhenhai Long
Xiaojin Huang
Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor
Science and Technology of Nuclear Installations
author_facet Jianghai Li
Jia Meng
Xiaojing Kang
Zhenhai Long
Xiaojin Huang
author_sort Jianghai Li
title Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor
title_short Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor
title_full Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor
title_fullStr Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor
title_full_unstemmed Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor
title_sort using wireless sensor networks to achieve intelligent monitoring for high-temperature gas-cooled reactor
publisher Hindawi Limited
series Science and Technology of Nuclear Installations
issn 1687-6075
1687-6083
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/3721578
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