{"title":"利用离散信号分解来识别不同类型的过电压","authors":"W. Skomudek","doi":"10.1109/SELM.2013.6562979","DOIUrl":null,"url":null,"abstract":"The use of modern advances in digital processing methods for the analysis of signal disruption of a non-stationary or quasi-stationary allowed to show the evolution of time-frequency signal along the time axis and the frequency, the discrete signal decomposition. The paper points to the possibility of assessing the risks of isolation medium voltage cables using time-frequency decomposition surges of various origins.","PeriodicalId":244408,"journal":{"name":"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The use of discrete signal decomposition to identify different types of overvoltage\",\"authors\":\"W. Skomudek\",\"doi\":\"10.1109/SELM.2013.6562979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of modern advances in digital processing methods for the analysis of signal disruption of a non-stationary or quasi-stationary allowed to show the evolution of time-frequency signal along the time axis and the frequency, the discrete signal decomposition. The paper points to the possibility of assessing the risks of isolation medium voltage cables using time-frequency decomposition surges of various origins.\",\"PeriodicalId\":244408,\"journal\":{\"name\":\"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SELM.2013.6562979\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SELM.2013.6562979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of discrete signal decomposition to identify different types of overvoltage
The use of modern advances in digital processing methods for the analysis of signal disruption of a non-stationary or quasi-stationary allowed to show the evolution of time-frequency signal along the time axis and the frequency, the discrete signal decomposition. The paper points to the possibility of assessing the risks of isolation medium voltage cables using time-frequency decomposition surges of various origins.
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