{"title":"Design of high voltage vacuum circuit breaker's on-line monitoring and fault diagnosis system","authors":"Mei Fei, Zhu Kedong, Zheng Jianyong, Zhu Meng","doi":"10.1109/IMCEC.2016.7867244","DOIUrl":null,"url":null,"abstract":"A continuous real-time data acquisition and communication equipment based on Advanced RISC Machine and Field Programmable Gate Array is designed and developed, on the basis of which an on-line monitoring and fault diagnosis system for high voltage circuit breaker is realized. Mechanical, electrical and environmental parameters of the switching process can be gathered by this system. The function modules such as history data record and query, fault diagnosis, Ethernet communication and human-computer interface are contained as well. Ensemble Empirical Mode Decomposition based feature extraction method, Kernel Fuzzy C-means and Support Vector Machine combined fault diagnosis method are proposed and applied respectively. Performance of the system and precision of the algorithm have been proven in field tests.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCEC.2016.7867244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A continuous real-time data acquisition and communication equipment based on Advanced RISC Machine and Field Programmable Gate Array is designed and developed, on the basis of which an on-line monitoring and fault diagnosis system for high voltage circuit breaker is realized. Mechanical, electrical and environmental parameters of the switching process can be gathered by this system. The function modules such as history data record and query, fault diagnosis, Ethernet communication and human-computer interface are contained as well. Ensemble Empirical Mode Decomposition based feature extraction method, Kernel Fuzzy C-means and Support Vector Machine combined fault diagnosis method are proposed and applied respectively. Performance of the system and precision of the algorithm have been proven in field tests.