Samuel Lessinger, R. D. de Figueiredo, L. R. Prade, A. da Rosa Abaide
{"title":"用数据科学改进电力变压器维护","authors":"Samuel Lessinger, R. D. de Figueiredo, L. R. Prade, A. da Rosa Abaide","doi":"10.1109/UPEC50034.2021.9548181","DOIUrl":null,"url":null,"abstract":"The continuous expansion of the electrical power system demands increasingly strict operating standards in terms of safety and availability. In this scenario, the maintenance of power transformers becomes essential for the safe and efficient operation of the entire system. Operating data must be analyzed to verify the correct functioning of the transformer. This work applies a data science methodology in a real transformer to extract operating thermal profiles and commutations Taps characteristic. This analysis helps in decisions about predictive maintenance planning.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving Power Transformers Maintenance with Data Science\",\"authors\":\"Samuel Lessinger, R. D. de Figueiredo, L. R. Prade, A. da Rosa Abaide\",\"doi\":\"10.1109/UPEC50034.2021.9548181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The continuous expansion of the electrical power system demands increasingly strict operating standards in terms of safety and availability. In this scenario, the maintenance of power transformers becomes essential for the safe and efficient operation of the entire system. Operating data must be analyzed to verify the correct functioning of the transformer. This work applies a data science methodology in a real transformer to extract operating thermal profiles and commutations Taps characteristic. This analysis helps in decisions about predictive maintenance planning.\",\"PeriodicalId\":325389,\"journal\":{\"name\":\"2021 56th International Universities Power Engineering Conference (UPEC)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 56th International Universities Power Engineering Conference (UPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPEC50034.2021.9548181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 56th International Universities Power Engineering Conference (UPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC50034.2021.9548181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving Power Transformers Maintenance with Data Science
The continuous expansion of the electrical power system demands increasingly strict operating standards in terms of safety and availability. In this scenario, the maintenance of power transformers becomes essential for the safe and efficient operation of the entire system. Operating data must be analyzed to verify the correct functioning of the transformer. This work applies a data science methodology in a real transformer to extract operating thermal profiles and commutations Taps characteristic. This analysis helps in decisions about predictive maintenance planning.