Lukmon Rasaq, Korbin Ferguson, William Teasley, Max Xu, Kyle E. Blond, O. P. Yadav
{"title":"Sensor and Maintenance Strategy Evaluation for Boeing 767 Commercial Fleets","authors":"Lukmon Rasaq, Korbin Ferguson, William Teasley, Max Xu, Kyle E. Blond, O. P. Yadav","doi":"10.1109/RAMS51492.2024.10457726","DOIUrl":null,"url":null,"abstract":"This paper presents a framework to evaluate sensor solutions and maintenance strategies using performance metric and genetic algorithm to mitigate future Boeing 767 (B767) Airworthiness Directives (ADs). The results obtained can inform predictive maintenance models and reliability improvements to mitigate the costs of AD for commercial and military B767 operators.","PeriodicalId":518362,"journal":{"name":"2024 Annual Reliability and Maintainability Symposium (RAMS)","volume":"107 3","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS51492.2024.10457726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a framework to evaluate sensor solutions and maintenance strategies using performance metric and genetic algorithm to mitigate future Boeing 767 (B767) Airworthiness Directives (ADs). The results obtained can inform predictive maintenance models and reliability improvements to mitigate the costs of AD for commercial and military B767 operators.
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