{"title":"Reliability assessment methods considering failure correlation and importance analysis for multiple progressive damage","authors":"Zhixuan Gao , Deyin Jiang , Xinchen Zhuang , Weimin Cui , Tianxiang Yu","doi":"10.1016/j.ress.2025.111389","DOIUrl":null,"url":null,"abstract":"<div><div>Aircraft complex mechanisms are susceptible to multiple progressive damage in operation, where a particular form of damage can have an effect on the strength of another through the mechanism transmission. The results of reliability analysis that ignores the correlation between them will deviate from the actual situation. To address the above problems, based on the characteristics of multiple progressive damage, two correlation models of multiple progressive damage are established, and a reliability assessment method considering the correlation of multiple progressive damage is proposed. Based on the vine copula theory, the correlation model of multiple progressive damage systems at different times was established, and the reliability of the system was calculated based on Monte Carlo method. Based on the importance theory, the importance analysis method is further proposed for multiple progressive damage. The results of the engineering case study show that ignoring the correlation between multiple progressive damage can lead to an inaccurate system reliability assessment, the maximum relative error to the reliability results for the independent case is 25 %. And the types of damage that need to be focused on maintenance are obtained by importance analysis, and the method provides a reference for the reliability assessment of complex mechanisms in aerospace.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"264 ","pages":"Article 111389"},"PeriodicalIF":9.4000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025005903","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Aircraft complex mechanisms are susceptible to multiple progressive damage in operation, where a particular form of damage can have an effect on the strength of another through the mechanism transmission. The results of reliability analysis that ignores the correlation between them will deviate from the actual situation. To address the above problems, based on the characteristics of multiple progressive damage, two correlation models of multiple progressive damage are established, and a reliability assessment method considering the correlation of multiple progressive damage is proposed. Based on the vine copula theory, the correlation model of multiple progressive damage systems at different times was established, and the reliability of the system was calculated based on Monte Carlo method. Based on the importance theory, the importance analysis method is further proposed for multiple progressive damage. The results of the engineering case study show that ignoring the correlation between multiple progressive damage can lead to an inaccurate system reliability assessment, the maximum relative error to the reliability results for the independent case is 25 %. And the types of damage that need to be focused on maintenance are obtained by importance analysis, and the method provides a reference for the reliability assessment of complex mechanisms in aerospace.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.