{"title":"以可靠性为中心的风力涡轮机资产管理-可持续和成本优化维护策略的整体方法","authors":"C. Geiss, S. Guder","doi":"10.1109/ICSRS.2017.8272814","DOIUrl":null,"url":null,"abstract":"This paper presents holistic approaches to a sustainable asset management of wind turbines by the combined application of reliability methods and in-service information of the plant in the operation and maintenance (O&M) phase of the overall plant life cycle. It presents the capabilities of a RCAM analysis using currently available empirical statistics for European and German wind turbines. Requirements and a basic framework for future detailed quantitative modelling and decision analysis algorithms based on the Bayesian theory will be outlined.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"70 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Reliability-centered asset management of wind turbines — A holistic approach for a sustainable and cost-optimal maintenance strategy\",\"authors\":\"C. Geiss, S. Guder\",\"doi\":\"10.1109/ICSRS.2017.8272814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents holistic approaches to a sustainable asset management of wind turbines by the combined application of reliability methods and in-service information of the plant in the operation and maintenance (O&M) phase of the overall plant life cycle. It presents the capabilities of a RCAM analysis using currently available empirical statistics for European and German wind turbines. Requirements and a basic framework for future detailed quantitative modelling and decision analysis algorithms based on the Bayesian theory will be outlined.\",\"PeriodicalId\":161789,\"journal\":{\"name\":\"2017 2nd International Conference on System Reliability and Safety (ICSRS)\",\"volume\":\"70 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference on System Reliability and Safety (ICSRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSRS.2017.8272814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSRS.2017.8272814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability-centered asset management of wind turbines — A holistic approach for a sustainable and cost-optimal maintenance strategy
This paper presents holistic approaches to a sustainable asset management of wind turbines by the combined application of reliability methods and in-service information of the plant in the operation and maintenance (O&M) phase of the overall plant life cycle. It presents the capabilities of a RCAM analysis using currently available empirical statistics for European and German wind turbines. Requirements and a basic framework for future detailed quantitative modelling and decision analysis algorithms based on the Bayesian theory will be outlined.
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