{"title":"音频频谱分析的电磁干扰模式","authors":"J. Timperley","doi":"10.1109/EEIC.2007.4562584","DOIUrl":null,"url":null,"abstract":"An important aspect of EMI (electromagnetic interference) diagnostics of high voltage power systems is the recognition and identification of various video and audio patterns present in the radio frequencies generated by partial discharges and arcing activity. This paper presents the first audio frequency analysis of several common sources of EMI.","PeriodicalId":152045,"journal":{"name":"2007 Electrical Insulation Conference and Electrical Manufacturing Expo","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Audio spectrum analysis of EMI patterns\",\"authors\":\"J. Timperley\",\"doi\":\"10.1109/EEIC.2007.4562584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An important aspect of EMI (electromagnetic interference) diagnostics of high voltage power systems is the recognition and identification of various video and audio patterns present in the radio frequencies generated by partial discharges and arcing activity. This paper presents the first audio frequency analysis of several common sources of EMI.\",\"PeriodicalId\":152045,\"journal\":{\"name\":\"2007 Electrical Insulation Conference and Electrical Manufacturing Expo\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Electrical Insulation Conference and Electrical Manufacturing Expo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEIC.2007.4562584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Electrical Insulation Conference and Electrical Manufacturing Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEIC.2007.4562584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An important aspect of EMI (electromagnetic interference) diagnostics of high voltage power systems is the recognition and identification of various video and audio patterns present in the radio frequencies generated by partial discharges and arcing activity. This paper presents the first audio frequency analysis of several common sources of EMI.
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