{"title":"Smart Monitoring of Outdoor Insulators","authors":"Abdulla Lutfi, Ayman H. El-Hag","doi":"10.1109/ICCSPA55860.2022.10019102","DOIUrl":null,"url":null,"abstract":"Outdoor insulators are crucial components to the integrity of overhead lines. There are two main types of outdoor insulators: ceramic and non-ceramic insulators. Both types suffer from different types of defects in the field and hence they need to be inspected regularly to avoid any possible sudden failure of these insulators. In this paper, the different types of defects of outdoor insulators are summarized. Moreover, the different pros and cons of sensors are highlighted and compared. Furthermore, the application of machine learning to enhance the inspection process is introduced.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSPA55860.2022.10019102","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
Outdoor insulators are crucial components to the integrity of overhead lines. There are two main types of outdoor insulators: ceramic and non-ceramic insulators. Both types suffer from different types of defects in the field and hence they need to be inspected regularly to avoid any possible sudden failure of these insulators. In this paper, the different types of defects of outdoor insulators are summarized. Moreover, the different pros and cons of sensors are highlighted and compared. Furthermore, the application of machine learning to enhance the inspection process is introduced.