{"title":"基于小波变换和FFT的电弧炉谐波检测","authors":"Xiao-Mei Ye, Xiao-he Liu","doi":"10.1109/ICWAPR.2009.5207486","DOIUrl":null,"url":null,"abstract":"The paper presents a harmonic detection method based on wavelet transform and FFT for electric arc furnaces system. The method not only overcomes the drawbacks of conventional Fourier transform, analyzing transient, non-stationary or time-varying event invalidated, but also avoids the disadvantages that only use wavelet transform can not obtain the precise value at a particular harmonic frequency. Simulation results of MATLAB have proved that the given method is reasonable valid.","PeriodicalId":424264,"journal":{"name":"2009 International Conference on Wavelet Analysis and Pattern Recognition","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"The harmonic detection based on wavelet transform and FFT for electric ARC furnaces\",\"authors\":\"Xiao-Mei Ye, Xiao-he Liu\",\"doi\":\"10.1109/ICWAPR.2009.5207486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a harmonic detection method based on wavelet transform and FFT for electric arc furnaces system. The method not only overcomes the drawbacks of conventional Fourier transform, analyzing transient, non-stationary or time-varying event invalidated, but also avoids the disadvantages that only use wavelet transform can not obtain the precise value at a particular harmonic frequency. Simulation results of MATLAB have proved that the given method is reasonable valid.\",\"PeriodicalId\":424264,\"journal\":{\"name\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2009.5207486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2009.5207486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The harmonic detection based on wavelet transform and FFT for electric ARC furnaces
The paper presents a harmonic detection method based on wavelet transform and FFT for electric arc furnaces system. The method not only overcomes the drawbacks of conventional Fourier transform, analyzing transient, non-stationary or time-varying event invalidated, but also avoids the disadvantages that only use wavelet transform can not obtain the precise value at a particular harmonic frequency. Simulation results of MATLAB have proved that the given method is reasonable valid.
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