X. Shao, Xiao-Xin Chen, Jiang-Yang Zhan, Yuhui Lv, H. Mu
{"title":"An Integrated Sensor with SiP Chip for Bushing Partial Discharge Monitoring of UHV Transformer","authors":"X. Shao, Xiao-Xin Chen, Jiang-Yang Zhan, Yuhui Lv, H. Mu","doi":"10.1109/CEIDP55452.2022.9985256","DOIUrl":null,"url":null,"abstract":"To solve the interference problems of partial discharge signal monitoring in UHV transformers, this paper propose a sensor integrated with a special designed system-in-package chip (SiP) for bushing partial discharge monitoring. This sensor not only realize the local digitalization of the partial discharge analog signal but also apply a noise suppression method based on adaptive window singular value decomposition (AWSVD). Through laboratory simulation partial discharge signal acquisition test, this sensor can significantly suppress signal noise. This paper establishes a new noise suppression method for partial discharge monitoring of transformer bushings based on the integrated information processing method, which is a new technical idea for transformer bushing monitoring and can be extended to other electrical equipment monitoring.","PeriodicalId":374945,"journal":{"name":"2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIDP55452.2022.9985256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To solve the interference problems of partial discharge signal monitoring in UHV transformers, this paper propose a sensor integrated with a special designed system-in-package chip (SiP) for bushing partial discharge monitoring. This sensor not only realize the local digitalization of the partial discharge analog signal but also apply a noise suppression method based on adaptive window singular value decomposition (AWSVD). Through laboratory simulation partial discharge signal acquisition test, this sensor can significantly suppress signal noise. This paper establishes a new noise suppression method for partial discharge monitoring of transformer bushings based on the integrated information processing method, which is a new technical idea for transformer bushing monitoring and can be extended to other electrical equipment monitoring.