{"title":"使用HMM对维护活动进行评估","authors":"P. Vrignat, M. Avila, F. Duculty, F. Kratz","doi":"10.1504/IJAIS.2010.034801","DOIUrl":null,"url":null,"abstract":"This paper deals with a tool which may help maintenance managers to schedule maintenance activities. To help them, we show that by using events which can be observed on a process, like maintenance events, we can predict failures before they occur. Principles are based on hypothesis that failure is preceded by a typical sequence of events. We also show that hidden Markov models can be used according to the right choice of parameters.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Use of HMM for evaluation of maintenance activities\",\"authors\":\"P. Vrignat, M. Avila, F. Duculty, F. Kratz\",\"doi\":\"10.1504/IJAIS.2010.034801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with a tool which may help maintenance managers to schedule maintenance activities. To help them, we show that by using events which can be observed on a process, like maintenance events, we can predict failures before they occur. Principles are based on hypothesis that failure is preceded by a typical sequence of events. We also show that hidden Markov models can be used according to the right choice of parameters.\",\"PeriodicalId\":383612,\"journal\":{\"name\":\"International Journal of Adaptive and Innovative Systems\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Adaptive and Innovative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJAIS.2010.034801\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Adaptive and Innovative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAIS.2010.034801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of HMM for evaluation of maintenance activities
This paper deals with a tool which may help maintenance managers to schedule maintenance activities. To help them, we show that by using events which can be observed on a process, like maintenance events, we can predict failures before they occur. Principles are based on hypothesis that failure is preceded by a typical sequence of events. We also show that hidden Markov models can be used according to the right choice of parameters.
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