A. Cerqueira, M. Lima, M. Salmento, Julio V. de Souza, D. Coury
{"title":"电能质量扰动分析的非线性滤波","authors":"A. Cerqueira, M. Lima, M. Salmento, Julio V. de Souza, D. Coury","doi":"10.1109/ICHQP.2010.5625382","DOIUrl":null,"url":null,"abstract":"In this work, a new method for PQ analysis is proposed based on the use of neural processing aiming to decouple the information from different disturbances from the power system signal. The system was implemented and tested using a simulated database showing the good performance of the proposed technique for signal separation. It was shown that the proposed method could also be used as a preprocessing technique for PQ monitoring systems.","PeriodicalId":180078,"journal":{"name":"Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nonlinear filtering for Power Quality disturbances analysis\",\"authors\":\"A. Cerqueira, M. Lima, M. Salmento, Julio V. de Souza, D. Coury\",\"doi\":\"10.1109/ICHQP.2010.5625382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, a new method for PQ analysis is proposed based on the use of neural processing aiming to decouple the information from different disturbances from the power system signal. The system was implemented and tested using a simulated database showing the good performance of the proposed technique for signal separation. It was shown that the proposed method could also be used as a preprocessing technique for PQ monitoring systems.\",\"PeriodicalId\":180078,\"journal\":{\"name\":\"Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHQP.2010.5625382\",\"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 14th International Conference on Harmonics and Quality of Power - ICHQP 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHQP.2010.5625382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlinear filtering for Power Quality disturbances analysis
In this work, a new method for PQ analysis is proposed based on the use of neural processing aiming to decouple the information from different disturbances from the power system signal. The system was implemented and tested using a simulated database showing the good performance of the proposed technique for signal separation. It was shown that the proposed method could also be used as a preprocessing technique for PQ monitoring systems.