{"title":"基于模糊逻辑的卷绕变形检测灵敏度评价","authors":"S. Santhi, V. Jayashankar","doi":"10.1109/SMCIA.2005.1466942","DOIUrl":null,"url":null,"abstract":"The assessment of winding deformation during a short circuit test on a transformer has traditionally been treated as a hard computing problem. Recent developments using frequency response analysis have shown improved sensitivity for detection. The method can be further refined to work on line by concurrent excitation with a high frequency source. Soft computing techniques are used to identify the type of excitation that maximizes the SNR of the measurement and to make it adaptive.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fuzzy logic based sensitivity assessment for winding deformation detection\",\"authors\":\"S. Santhi, V. Jayashankar\",\"doi\":\"10.1109/SMCIA.2005.1466942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The assessment of winding deformation during a short circuit test on a transformer has traditionally been treated as a hard computing problem. Recent developments using frequency response analysis have shown improved sensitivity for detection. The method can be further refined to work on line by concurrent excitation with a high frequency source. Soft computing techniques are used to identify the type of excitation that maximizes the SNR of the measurement and to make it adaptive.\",\"PeriodicalId\":283950,\"journal\":{\"name\":\"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMCIA.2005.1466942\",\"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 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMCIA.2005.1466942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic based sensitivity assessment for winding deformation detection
The assessment of winding deformation during a short circuit test on a transformer has traditionally been treated as a hard computing problem. Recent developments using frequency response analysis have shown improved sensitivity for detection. The method can be further refined to work on line by concurrent excitation with a high frequency source. Soft computing techniques are used to identify the type of excitation that maximizes the SNR of the measurement and to make it adaptive.