{"title":"Analysis on influence factors of the reliability of electric power communication networks","authors":"S. Xiaoyan, Xu Hangtian","doi":"10.1109/ICEICT.2016.7879650","DOIUrl":null,"url":null,"abstract":"With the operation of the electric power network, the influence degree of stress, aging, deformation, bending and other factors on the reliability of the networks is found to have practical significance. The data of network status are large and independent, so we can correlate these independent data by means of subjective. In this paper, we combine the subjective weighting method and the objective weighting method, and invite six selected professionals to evaluate the decimal scoring method, then after dimensionless processing, we get the entropy relation grade of the influencing factors by using the grey relation entropy, finally we obtain the primary and secondary relationship of the influences on the reliability of the network. Results show that in the study of reliability influencing factors of electric power network, the grey relation entropy is a simple, practical and ideal method, and it provides an effective basis for the modeling of the reliability of electric power optical fiber communication networks.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT.2016.7879650","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
With the operation of the electric power network, the influence degree of stress, aging, deformation, bending and other factors on the reliability of the networks is found to have practical significance. The data of network status are large and independent, so we can correlate these independent data by means of subjective. In this paper, we combine the subjective weighting method and the objective weighting method, and invite six selected professionals to evaluate the decimal scoring method, then after dimensionless processing, we get the entropy relation grade of the influencing factors by using the grey relation entropy, finally we obtain the primary and secondary relationship of the influences on the reliability of the network. Results show that in the study of reliability influencing factors of electric power network, the grey relation entropy is a simple, practical and ideal method, and it provides an effective basis for the modeling of the reliability of electric power optical fiber communication networks.