{"title":"基于模型的RCM分析方法","authors":"Zhibao Mian, Shuli Jia, Xiaodong Shi, Cairong Tang, Junjie Chen, Y. Gao","doi":"10.1109/QRS-C51114.2020.00059","DOIUrl":null,"url":null,"abstract":"The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some enterprises. The disadvantages are time-consuming, labour-intensive and error-prone. For complex systems containing thousands of components, to achieve a fast and effective FMECA analysis is difficult. RCM should benefit from the most advanced model-based systems engineering methods. In this paper, a model-based RCM analysis framework (MRAF) is presented. Based on this framework, RCM analysts can use model-based reliability analysis techniques, such as AADL, to model the system architecture and faults information. Then the AADL-based analysis platform OSATE can be used to automatically produce the FMEA. By combining the generated FMEA with the criticality analysis (CA) technology, this paper can semiautomatically generate the FMECA for equipments and systems being analyzed by RCM.","PeriodicalId":358174,"journal":{"name":"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Model-based RCM Analysis Method\",\"authors\":\"Zhibao Mian, Shuli Jia, Xiaodong Shi, Cairong Tang, Junjie Chen, Y. Gao\",\"doi\":\"10.1109/QRS-C51114.2020.00059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some enterprises. The disadvantages are time-consuming, labour-intensive and error-prone. For complex systems containing thousands of components, to achieve a fast and effective FMECA analysis is difficult. RCM should benefit from the most advanced model-based systems engineering methods. In this paper, a model-based RCM analysis framework (MRAF) is presented. Based on this framework, RCM analysts can use model-based reliability analysis techniques, such as AADL, to model the system architecture and faults information. Then the AADL-based analysis platform OSATE can be used to automatically produce the FMEA. By combining the generated FMEA with the criticality analysis (CA) technology, this paper can semiautomatically generate the FMECA for equipments and systems being analyzed by RCM.\",\"PeriodicalId\":358174,\"journal\":{\"name\":\"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QRS-C51114.2020.00059\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QRS-C51114.2020.00059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some enterprises. The disadvantages are time-consuming, labour-intensive and error-prone. For complex systems containing thousands of components, to achieve a fast and effective FMECA analysis is difficult. RCM should benefit from the most advanced model-based systems engineering methods. In this paper, a model-based RCM analysis framework (MRAF) is presented. Based on this framework, RCM analysts can use model-based reliability analysis techniques, such as AADL, to model the system architecture and faults information. Then the AADL-based analysis platform OSATE can be used to automatically produce the FMEA. By combining the generated FMEA with the criticality analysis (CA) technology, this paper can semiautomatically generate the FMECA for equipments and systems being analyzed by RCM.