{"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.