{"title":"可靠性--新兴系统特性，737 MAX 和社会系统实例","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":"{\"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}","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}
Reliability - an Emergent System Property, 737 MAX and Societal System Examples
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.
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