{"title":"SDP algorithm for network reliability evaluation","authors":"P. Cașcaval, S. Floria","doi":"10.1109/INISTA.2017.8001143","DOIUrl":null,"url":null,"abstract":"This paper addresses the issue of the two-terminal reliability evaluation of medium-to-large networks and proposes a new method to solve the problem of ‘sum of disjoint products’ (SDP) algebraically. This method uses a ‘multiple variables inversion’ (MVI) technique for transforming a structure function into a sum of disjoint products which has a one-to-one correspondence with the reliability expression. The results of our method for several network models are compared with those obtained by means of other well-known MVI techniques. For large-scale networks, our method offers a better solution.","PeriodicalId":314687,"journal":{"name":"2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"323 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INISTA.2017.8001143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper addresses the issue of the two-terminal reliability evaluation of medium-to-large networks and proposes a new method to solve the problem of ‘sum of disjoint products’ (SDP) algebraically. This method uses a ‘multiple variables inversion’ (MVI) technique for transforming a structure function into a sum of disjoint products which has a one-to-one correspondence with the reliability expression. The results of our method for several network models are compared with those obtained by means of other well-known MVI techniques. For large-scale networks, our method offers a better solution.