{"title":"充液变压器早期故障的主动检测与识别","authors":"Emilio Morales Cruz, R. Udrescu","doi":"10.1109/PCIC42668.2022.10181258","DOIUrl":null,"url":null,"abstract":"The failure of power transformers is always an area of significant concern because it can result in millions of dollars in costs, interruption of power, and possible environmental and safety impacts. Therefore, it is desirable to detect the existence of abnormal changes in the transformer’s internal condition and determine whether the changes could lead to a failure. Active detection and identification of incipient faults is now possible through online monitoring of abnormal changes in some parameters and the use of diagnostic methods. This paper gives an overview of a transformer monitoring system and measured signals for the diagnosis of incipient faults.","PeriodicalId":301848,"journal":{"name":"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active Detection And Identification Of Incipient Faults In Liquid Filled Transformers\",\"authors\":\"Emilio Morales Cruz, R. Udrescu\",\"doi\":\"10.1109/PCIC42668.2022.10181258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The failure of power transformers is always an area of significant concern because it can result in millions of dollars in costs, interruption of power, and possible environmental and safety impacts. Therefore, it is desirable to detect the existence of abnormal changes in the transformer’s internal condition and determine whether the changes could lead to a failure. Active detection and identification of incipient faults is now possible through online monitoring of abnormal changes in some parameters and the use of diagnostic methods. This paper gives an overview of a transformer monitoring system and measured signals for the diagnosis of incipient faults.\",\"PeriodicalId\":301848,\"journal\":{\"name\":\"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCIC42668.2022.10181258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCIC42668.2022.10181258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active Detection And Identification Of Incipient Faults In Liquid Filled Transformers
The failure of power transformers is always an area of significant concern because it can result in millions of dollars in costs, interruption of power, and possible environmental and safety impacts. Therefore, it is desirable to detect the existence of abnormal changes in the transformer’s internal condition and determine whether the changes could lead to a failure. Active detection and identification of incipient faults is now possible through online monitoring of abnormal changes in some parameters and the use of diagnostic methods. This paper gives an overview of a transformer monitoring system and measured signals for the diagnosis of incipient faults.