{"title":"制订预测要求","authors":"A. Usynin, J. Hines, A. Urmanov","doi":"10.1109/AERO.2007.352881","DOIUrl":null,"url":null,"abstract":"This paper proposes a methodology for formulating prognostics requirements for designers of electronic prognostics (EP)-enabled systems. A usefulness criterion is introduced that enables the specification of admissible uncertainty bounds on measurements of systems' health/degradation parameters. Keeping the uncertainty of health estimation below the admissible levels assures more accurate individual remaining useful life (RUL) estimations than those based on traditional population average time-to-failure. The proposed methodology is demonstrated using the well-known cumulative damage model that was extended to incorporate individual degradation data.","PeriodicalId":6295,"journal":{"name":"2007 IEEE Aerospace Conference","volume":"5 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Formulation of Prognostics Requirements\",\"authors\":\"A. Usynin, J. Hines, A. Urmanov\",\"doi\":\"10.1109/AERO.2007.352881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a methodology for formulating prognostics requirements for designers of electronic prognostics (EP)-enabled systems. A usefulness criterion is introduced that enables the specification of admissible uncertainty bounds on measurements of systems' health/degradation parameters. Keeping the uncertainty of health estimation below the admissible levels assures more accurate individual remaining useful life (RUL) estimations than those based on traditional population average time-to-failure. The proposed methodology is demonstrated using the well-known cumulative damage model that was extended to incorporate individual degradation data.\",\"PeriodicalId\":6295,\"journal\":{\"name\":\"2007 IEEE Aerospace Conference\",\"volume\":\"5 1\",\"pages\":\"1-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Aerospace Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AERO.2007.352881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Aerospace Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.2007.352881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a methodology for formulating prognostics requirements for designers of electronic prognostics (EP)-enabled systems. A usefulness criterion is introduced that enables the specification of admissible uncertainty bounds on measurements of systems' health/degradation parameters. Keeping the uncertainty of health estimation below the admissible levels assures more accurate individual remaining useful life (RUL) estimations than those based on traditional population average time-to-failure. The proposed methodology is demonstrated using the well-known cumulative damage model that was extended to incorporate individual degradation data.