{"title":"备用冗余网络控制系统的马尔可夫链建模","authors":"A. Raj, S. Azad","doi":"10.1109/ICEES.2019.8719303","DOIUrl":null,"url":null,"abstract":"Reliability analysis of standby redundant systems is essential in continuous industrial process applications. This paper proposes the Markov chain modelling of the networked control system with standby redundant elements. It involves the evaluation of all the operating, repair and failure states of elements and their probabilities of failure using stochastic transitional probability matrix. The frequency of each encountering the state of failure is presented to predict the reliability of the networked control system. The results of the mathematical approach are presented to illustrate the performance of the proposed model with redundant sensor and actuator connected in NCS.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Markov Chain Modelling of Standby Redundant Networked Control System\",\"authors\":\"A. Raj, S. Azad\",\"doi\":\"10.1109/ICEES.2019.8719303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliability analysis of standby redundant systems is essential in continuous industrial process applications. This paper proposes the Markov chain modelling of the networked control system with standby redundant elements. It involves the evaluation of all the operating, repair and failure states of elements and their probabilities of failure using stochastic transitional probability matrix. The frequency of each encountering the state of failure is presented to predict the reliability of the networked control system. The results of the mathematical approach are presented to illustrate the performance of the proposed model with redundant sensor and actuator connected in NCS.\",\"PeriodicalId\":421791,\"journal\":{\"name\":\"2019 Fifth International Conference on Electrical Energy Systems (ICEES)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Fifth International Conference on Electrical Energy Systems (ICEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEES.2019.8719303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEES.2019.8719303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Markov Chain Modelling of Standby Redundant Networked Control System
Reliability analysis of standby redundant systems is essential in continuous industrial process applications. This paper proposes the Markov chain modelling of the networked control system with standby redundant elements. It involves the evaluation of all the operating, repair and failure states of elements and their probabilities of failure using stochastic transitional probability matrix. The frequency of each encountering the state of failure is presented to predict the reliability of the networked control system. The results of the mathematical approach are presented to illustrate the performance of the proposed model with redundant sensor and actuator connected in NCS.
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