{"title":"Reliability - an Emergent System Property, 737 MAX and Societal System Examples","authors":"Jan B. Smith","doi":"10.1109/RAMS51492.2024.10457784","DOIUrl":null,"url":null,"abstract":"A new data analysis methodology uses system level event dates to recognize unreliability of any system with complex causes-and-effects and forecast the time to the next event date as a probability distribution. A single datum is often sufficient, and this makes it uniquely valuable for systems requiring catastrophic events and failures to be minimal.","PeriodicalId":518362,"journal":{"name":"2024 Annual Reliability and Maintainability Symposium (RAMS)","volume":"293 11","pages":"1-8"},"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/RAMS51492.2024.10457784","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
A new data analysis methodology uses system level event dates to recognize unreliability of any system with complex causes-and-effects and forecast the time to the next event date as a probability distribution. A single datum is often sufficient, and this makes it uniquely valuable for systems requiring catastrophic events and failures to be minimal.