Implementation strategy of predictive maintenance in nuclear power plant

Rui Han, Ping Li, Ziyu Shi
{"title":"Implementation strategy of predictive maintenance in nuclear power plant","authors":"Rui Han, Ping Li, Ziyu Shi","doi":"10.1109/PHM2022-London52454.2022.00033","DOIUrl":null,"url":null,"abstract":"Predictive maintenance of nuclear power plants is the continuous (or regular) condition monitoring and fault diagnosis of important parts of nuclear safety equipment when they are in operation. By judging the state of these equipment, predicting future development trends, making predictive maintenance plans based on development trends and possible failure modes, and determining the time, content, and method of equipment maintenance, as well as the required technical and material support [4]. Implementing predictive maintenance will help to detect early functional degradation, identify weak links in the operation process, and take timely intervention measures to enhance the safety of nuclear power plants, reduce the outage of nuclear power plants, and reduce operation and maintenance costs. The predictive maintenance of nuclear power plants relies on the \"Predictive Maintenance Program\", which stipulates the content and technology of predictive maintenance. According to the operation and maintenance experience of nuclear power units, the implementation of the predictive maintenance program should at least include three aspects: operation status assessment, equipment status assessment and maintenance implementation strategy. This paper mainly introduces the content of the predictive maintenance program of nuclear power plants, the content and process of the program implementation, and provides technical reference for other nuclear power plants to establish predictive maintenance.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Prognostics and Health Management Conference (PHM-2022 London)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM2022-London52454.2022.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Predictive maintenance of nuclear power plants is the continuous (or regular) condition monitoring and fault diagnosis of important parts of nuclear safety equipment when they are in operation. By judging the state of these equipment, predicting future development trends, making predictive maintenance plans based on development trends and possible failure modes, and determining the time, content, and method of equipment maintenance, as well as the required technical and material support [4]. Implementing predictive maintenance will help to detect early functional degradation, identify weak links in the operation process, and take timely intervention measures to enhance the safety of nuclear power plants, reduce the outage of nuclear power plants, and reduce operation and maintenance costs. The predictive maintenance of nuclear power plants relies on the "Predictive Maintenance Program", which stipulates the content and technology of predictive maintenance. According to the operation and maintenance experience of nuclear power units, the implementation of the predictive maintenance program should at least include three aspects: operation status assessment, equipment status assessment and maintenance implementation strategy. This paper mainly introduces the content of the predictive maintenance program of nuclear power plants, the content and process of the program implementation, and provides technical reference for other nuclear power plants to establish predictive maintenance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
核电厂预测性维修的实施策略
核电厂的预测性维护是对核安全设备重要部件在运行过程中进行连续(或定期)状态监测和故障诊断。通过对这些设备的状态进行判断,预测未来的发展趋势,根据发展趋势和可能出现的故障模式,制定预测性维护计划,确定设备维护的时间、内容、方法以及所需的技术和物质支持[4]。实施预测性维护有助于及早发现功能退化,识别运行过程中的薄弱环节,及时采取干预措施,提高核电站安全性,减少核电站停运,降低运维成本。核电厂的预测性维护依赖于《预测性维护计划》,该计划规定了预测性维护的内容和技术。根据核电机组运维经验,预防性维护方案的实施至少应包括运行状态评估、设备状态评估和维护实施策略三个方面。本文主要介绍了核电厂预测性维修方案的内容、方案实施的内容和过程,为其他核电厂建立预测性维修提供技术参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Defending Against Adversarial Attacks on Time- series with Selective Classification Fault diagnosis of fire control system based on genetic algorithm optimized BP neural network Monitoring and Mitigating Ionosphere threats in GNSS Space Environment Science A Relation Prediction Method for Industrial Knowledge Graph with Complex Relations Condition Monitoring of Wind Turbine Main Bearing Using SCADA Data and Informed by the Principle of Energy Conservation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1