{"title":"Design and Implementation of Fault Diagnosis System for Power Communication Network Based on CNN","authors":"Yang Shan, D. Liang, Deng Guoru, Liu Yuan","doi":"10.1109/ICCSN52437.2021.9463600","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of fast fault location in power communication network, a fault diagnosis system for power communication network based on CNN is designed. Firstly, the model structure and visual function module of the fault diagnosis system are designed, then the key technologies and processes of model realization and visual realization of fault diagnosis are expounded, and the system implementation environment is built and optimized. Finally, the overall operation of the system is introduced and demonstrated. The system designed in this paper can use CNN-based fault diagnosis algorithm to locate and diagnose network faults quickly, and realize the visualization process of network topology and fault diagnosis process. It supports the management and classification of different networks, and has the advantages of high efficiency and flexibility.","PeriodicalId":263568,"journal":{"name":"2021 13th International Conference on Communication Software and Networks (ICCSN)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN52437.2021.9463600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In order to solve the problem of fast fault location in power communication network, a fault diagnosis system for power communication network based on CNN is designed. Firstly, the model structure and visual function module of the fault diagnosis system are designed, then the key technologies and processes of model realization and visual realization of fault diagnosis are expounded, and the system implementation environment is built and optimized. Finally, the overall operation of the system is introduced and demonstrated. The system designed in this paper can use CNN-based fault diagnosis algorithm to locate and diagnose network faults quickly, and realize the visualization process of network topology and fault diagnosis process. It supports the management and classification of different networks, and has the advantages of high efficiency and flexibility.