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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Series: | Science and Technology of Nuclear Installations |
Online Access: | http://dx.doi.org/10.1155/2017/3721578 |
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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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