{"title":"一种评价连续采矿系统作业有效性的分析方法","authors":"Ertugrul Topuz, Chunming Duan","doi":"10.1016/0167-9031(91)91631-Q","DOIUrl":null,"url":null,"abstract":"<div><p>An analytic approach to assessing and predicting the operational effectiveness of continuous mining systems is presented. Availability models and productivity models have been developed through use of the techniques of direct reliability assessment and Markov modeling. The application of these models is illustrated by a field study.</p></div>","PeriodicalId":100929,"journal":{"name":"Mining Science and Technology","volume":"12 2","pages":"Pages 145-155"},"PeriodicalIF":0.0000,"publicationDate":"1991-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0167-9031(91)91631-Q","citationCount":"4","resultStr":"{\"title\":\"An analytical approach to evaluation of the operational effectiveness of continuous mining systems\",\"authors\":\"Ertugrul Topuz, Chunming Duan\",\"doi\":\"10.1016/0167-9031(91)91631-Q\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>An analytic approach to assessing and predicting the operational effectiveness of continuous mining systems is presented. Availability models and productivity models have been developed through use of the techniques of direct reliability assessment and Markov modeling. The application of these models is illustrated by a field study.</p></div>\",\"PeriodicalId\":100929,\"journal\":{\"name\":\"Mining Science and Technology\",\"volume\":\"12 2\",\"pages\":\"Pages 145-155\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0167-9031(91)91631-Q\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mining Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/016790319191631Q\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mining Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/016790319191631Q","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analytical approach to evaluation of the operational effectiveness of continuous mining systems
An analytic approach to assessing and predicting the operational effectiveness of continuous mining systems is presented. Availability models and productivity models have been developed through use of the techniques of direct reliability assessment and Markov modeling. The application of these models is illustrated by a field study.
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