{"title":"基于灰色-线性回归组合模型的设备故障率预测研究","authors":"Kunpeng Bi, Guo-hui Yan, Hongyuan Zhang, Na Tang","doi":"10.1109/PHM.2016.7819821","DOIUrl":null,"url":null,"abstract":"The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve rationality maintenance material. The paper establishes the gray-linear regression combined model and conceives math formula between equipment failure rate and use time. At the same time, the gray-linear regression combined model is proved to be valid and more accurate forecasting method compare with single forecasting model through practical example.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research on equipment failure rate forecasting based on gray-linear regression combined model\",\"authors\":\"Kunpeng Bi, Guo-hui Yan, Hongyuan Zhang, Na Tang\",\"doi\":\"10.1109/PHM.2016.7819821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve rationality maintenance material. The paper establishes the gray-linear regression combined model and conceives math formula between equipment failure rate and use time. At the same time, the gray-linear regression combined model is proved to be valid and more accurate forecasting method compare with single forecasting model through practical example.\",\"PeriodicalId\":202597,\"journal\":{\"name\":\"2016 Prognostics and System Health Management Conference (PHM-Chengdu)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Prognostics and System Health Management Conference (PHM-Chengdu)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PHM.2016.7819821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM.2016.7819821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on equipment failure rate forecasting based on gray-linear regression combined model
The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve rationality maintenance material. The paper establishes the gray-linear regression combined model and conceives math formula between equipment failure rate and use time. At the same time, the gray-linear regression combined model is proved to be valid and more accurate forecasting method compare with single forecasting model through practical example.