{"title":"谐波分量检测中FFT与卡尔曼滤波方法的比较分析","authors":"N. Will, R. Cardoso","doi":"10.1109/INDUSCON.2012.6451420","DOIUrl":null,"url":null,"abstract":"This paper presents a numerical comparison between the FFT and the Kalman filter applied for harmonic components detection in different situation of the grid operation. Some pitfalls of the FFT are showed and the results are compared with the Kalman filter approach. It is considered signals with step changes in amplitude, frequency and phase. An analysis of these results is made demonstrating the better behavior of the Kalman filter approach in comparison to the FFT.","PeriodicalId":442317,"journal":{"name":"2012 10th IEEE/IAS International Conference on Industry Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Comparative analysis between FFT and Kalman filter approaches for harmonic components detection\",\"authors\":\"N. Will, R. Cardoso\",\"doi\":\"10.1109/INDUSCON.2012.6451420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a numerical comparison between the FFT and the Kalman filter applied for harmonic components detection in different situation of the grid operation. Some pitfalls of the FFT are showed and the results are compared with the Kalman filter approach. It is considered signals with step changes in amplitude, frequency and phase. An analysis of these results is made demonstrating the better behavior of the Kalman filter approach in comparison to the FFT.\",\"PeriodicalId\":442317,\"journal\":{\"name\":\"2012 10th IEEE/IAS International Conference on Industry Applications\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 10th IEEE/IAS International Conference on Industry Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDUSCON.2012.6451420\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 10th IEEE/IAS International Conference on Industry Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDUSCON.2012.6451420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis between FFT and Kalman filter approaches for harmonic components detection
This paper presents a numerical comparison between the FFT and the Kalman filter applied for harmonic components detection in different situation of the grid operation. Some pitfalls of the FFT are showed and the results are compared with the Kalman filter approach. It is considered signals with step changes in amplitude, frequency and phase. An analysis of these results is made demonstrating the better behavior of the Kalman filter approach in comparison to the FFT.
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