{"title":"基于Hilbert-Huang变换的低压电机局部放电数据分析","authors":"Ya-Wen Tang, C. Tai, Ching-Chau Su","doi":"10.1109/ISAP.2007.4441619","DOIUrl":null,"url":null,"abstract":"Over the course of the past 20 years, the number of signal processing methods used to analyze the partial discharge (PD) of electrical equipments has greatly increased. In this paper, we analyze and compare the PD signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang Transforms: (HHT). The HHT demonstrates several excellent advantages in the PD signal analysis application.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data Analysis Using Hilbert-Huang Transform for Partial Discharge in Low Voltage Motors\",\"authors\":\"Ya-Wen Tang, C. Tai, Ching-Chau Su\",\"doi\":\"10.1109/ISAP.2007.4441619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the course of the past 20 years, the number of signal processing methods used to analyze the partial discharge (PD) of electrical equipments has greatly increased. In this paper, we analyze and compare the PD signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang Transforms: (HHT). The HHT demonstrates several excellent advantages in the PD signal analysis application.\",\"PeriodicalId\":320068,\"journal\":{\"name\":\"2007 International Conference on Intelligent Systems Applications to Power Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Intelligent Systems Applications to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAP.2007.4441619\",\"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 International Conference on Intelligent Systems Applications to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAP.2007.4441619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Analysis Using Hilbert-Huang Transform for Partial Discharge in Low Voltage Motors
Over the course of the past 20 years, the number of signal processing methods used to analyze the partial discharge (PD) of electrical equipments has greatly increased. In this paper, we analyze and compare the PD signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang Transforms: (HHT). The HHT demonstrates several excellent advantages in the PD signal analysis application.