{"title":"基于扩展 FMECA 信息的可维护性测试样本分配方法","authors":"Cheng Zhou, Da Xu, Zhaoyang Wang","doi":"10.1177/1748006x241260997","DOIUrl":null,"url":null,"abstract":"To ensure the accuracy of military equipment maintainability verification results, a sample allocation method for maintainability test based on extended failure mode, effects and criticality analysis (FMECA) information is proposed to address the problem that the influence factors are relatively one-sided and the weighting is subjective in the current test sample allocation method. The influence factors are analyzed and determined from three aspects: the fault occurrence characteristics, fault impact, and test economy. A method for calculating the fault propagation intensity based on the improved LeaderRank is proposed, which is introduced into the FMECA for expansion. It is proposed to use the CRITIC method to determine the objective weights of the influence factors, determine the subjective weights based on the relative importance of the influence factors, introduce game equilibrium to weigh and determine the combination weights, and then complete the sample allocation. Finally, an example showed that the influence factors determined by this method are more comprehensive, the weight results are more scientific, and the sample structure is more reasonable.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sample allocation method for maintainability test based on extended FMECA information\",\"authors\":\"Cheng Zhou, Da Xu, Zhaoyang Wang\",\"doi\":\"10.1177/1748006x241260997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To ensure the accuracy of military equipment maintainability verification results, a sample allocation method for maintainability test based on extended failure mode, effects and criticality analysis (FMECA) information is proposed to address the problem that the influence factors are relatively one-sided and the weighting is subjective in the current test sample allocation method. The influence factors are analyzed and determined from three aspects: the fault occurrence characteristics, fault impact, and test economy. A method for calculating the fault propagation intensity based on the improved LeaderRank is proposed, which is introduced into the FMECA for expansion. It is proposed to use the CRITIC method to determine the objective weights of the influence factors, determine the subjective weights based on the relative importance of the influence factors, introduce game equilibrium to weigh and determine the combination weights, and then complete the sample allocation. Finally, an example showed that the influence factors determined by this method are more comprehensive, the weight results are more scientific, and the sample structure is more reasonable.\",\"PeriodicalId\":51266,\"journal\":{\"name\":\"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1177/1748006x241260997\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/1748006x241260997","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Sample allocation method for maintainability test based on extended FMECA information
To ensure the accuracy of military equipment maintainability verification results, a sample allocation method for maintainability test based on extended failure mode, effects and criticality analysis (FMECA) information is proposed to address the problem that the influence factors are relatively one-sided and the weighting is subjective in the current test sample allocation method. The influence factors are analyzed and determined from three aspects: the fault occurrence characteristics, fault impact, and test economy. A method for calculating the fault propagation intensity based on the improved LeaderRank is proposed, which is introduced into the FMECA for expansion. It is proposed to use the CRITIC method to determine the objective weights of the influence factors, determine the subjective weights based on the relative importance of the influence factors, introduce game equilibrium to weigh and determine the combination weights, and then complete the sample allocation. Finally, an example showed that the influence factors determined by this method are more comprehensive, the weight results are more scientific, and the sample structure is more reasonable.
期刊介绍:
The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome