Chengbin Liang, Zhaosheng Teng, Jianmin Li, Fangxing Liu, Qing He
{"title":"基于广义s变换的电能质量扰动检测","authors":"Chengbin Liang, Zhaosheng Teng, Jianmin Li, Fangxing Liu, Qing He","doi":"10.1109/CPEM49742.2020.9191829","DOIUrl":null,"url":null,"abstract":"A modified generalized S transform is designed to extract the parameters of power quality disturbances such as starting and ending time, amplitude, harmonic frequencies more accurately in this paper. The demands of power quality detection is better met by controlling the Gaussian window function. Finally, the simulation results show that the excellent time-frequency performance of this method.","PeriodicalId":373216,"journal":{"name":"2020 Conference on Precision Electromagnetic Measurements (CPEM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Detection of Power Quality Disturbances Based on Generalized S-transform\",\"authors\":\"Chengbin Liang, Zhaosheng Teng, Jianmin Li, Fangxing Liu, Qing He\",\"doi\":\"10.1109/CPEM49742.2020.9191829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A modified generalized S transform is designed to extract the parameters of power quality disturbances such as starting and ending time, amplitude, harmonic frequencies more accurately in this paper. The demands of power quality detection is better met by controlling the Gaussian window function. Finally, the simulation results show that the excellent time-frequency performance of this method.\",\"PeriodicalId\":373216,\"journal\":{\"name\":\"2020 Conference on Precision Electromagnetic Measurements (CPEM)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Conference on Precision Electromagnetic Measurements (CPEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CPEM49742.2020.9191829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Conference on Precision Electromagnetic Measurements (CPEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEM49742.2020.9191829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Detection of Power Quality Disturbances Based on Generalized S-transform
A modified generalized S transform is designed to extract the parameters of power quality disturbances such as starting and ending time, amplitude, harmonic frequencies more accurately in this paper. The demands of power quality detection is better met by controlling the Gaussian window function. Finally, the simulation results show that the excellent time-frequency performance of this method.