B. Jayaraman, K. Ashenayi, M. O. Durham, R. Strattan
{"title":"基于神经网络的开关电源畸变校正","authors":"B. Jayaraman, K. Ashenayi, M. O. Durham, R. Strattan","doi":"10.1109/ANN.1991.213478","DOIUrl":null,"url":null,"abstract":"The correction of these power system distortions using neural networks is presented. A multi-layer neural network is trained (using error back propagation) to correct the distorted current waves. Based on the results obtained artificial neural network seems to offer a good solution for the important problem of correcting power system harmonic distortion.<<ETX>>","PeriodicalId":119713,"journal":{"name":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neural net based correction of power system distortion caused by switching power supplies\",\"authors\":\"B. Jayaraman, K. Ashenayi, M. O. Durham, R. Strattan\",\"doi\":\"10.1109/ANN.1991.213478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The correction of these power system distortions using neural networks is presented. A multi-layer neural network is trained (using error back propagation) to correct the distorted current waves. Based on the results obtained artificial neural network seems to offer a good solution for the important problem of correcting power system harmonic distortion.<<ETX>>\",\"PeriodicalId\":119713,\"journal\":{\"name\":\"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANN.1991.213478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1991.213478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural net based correction of power system distortion caused by switching power supplies
The correction of these power system distortions using neural networks is presented. A multi-layer neural network is trained (using error back propagation) to correct the distorted current waves. Based on the results obtained artificial neural network seems to offer a good solution for the important problem of correcting power system harmonic distortion.<>
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