{"title":"The application of fuzzy reasoning in communication network fault diagnosis","authors":"Fu Fan, Xingming Li","doi":"10.1109/CCSSE.2014.7224521","DOIUrl":null,"url":null,"abstract":"Fault management is an important part of network management, it is responsible for fault detection and locating the fault in the network. The modern network system, distributing widely, has a huge, complicated structure. Even if there is a small fault, it would bring users huge economic losses, However, in the actual network, a network fault usually leads to a number of alarm events, so we must analysis the correlation among the alarm events, and then determine the root alarm. In order to analyse the correlation among alarms, the network alarm was processed into fuzzy network alarm, which is compatible with fuzzy reasoning, by fuzzy set theory and fuzzy reasoning technology. Then set up corresponding knowledge representation and reasoning method for fuzzy reasoning. In this way, the root alarm can be located more quickly and accurately.","PeriodicalId":251022,"journal":{"name":"2014 IEEE International Conference on Control Science and Systems Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Control Science and Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSE.2014.7224521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Fault management is an important part of network management, it is responsible for fault detection and locating the fault in the network. The modern network system, distributing widely, has a huge, complicated structure. Even if there is a small fault, it would bring users huge economic losses, However, in the actual network, a network fault usually leads to a number of alarm events, so we must analysis the correlation among the alarm events, and then determine the root alarm. In order to analyse the correlation among alarms, the network alarm was processed into fuzzy network alarm, which is compatible with fuzzy reasoning, by fuzzy set theory and fuzzy reasoning technology. Then set up corresponding knowledge representation and reasoning method for fuzzy reasoning. In this way, the root alarm can be located more quickly and accurately.