Ilyas Soltanbayev, Radkhan Sarmukhanov, Sanzhar Kazymov, Talgat Otelgen, M. Bagheri
{"title":"干式变压器自动化老化评估的仿真研究","authors":"Ilyas Soltanbayev, Radkhan Sarmukhanov, Sanzhar Kazymov, Talgat Otelgen, M. Bagheri","doi":"10.1109/SIBCON.2017.7998478","DOIUrl":null,"url":null,"abstract":"Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.","PeriodicalId":190182,"journal":{"name":"2017 International Siberian Conference on Control and Communications (SIBCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Automated dry-type transformer aging evaluation: A simulation study\",\"authors\":\"Ilyas Soltanbayev, Radkhan Sarmukhanov, Sanzhar Kazymov, Talgat Otelgen, M. Bagheri\",\"doi\":\"10.1109/SIBCON.2017.7998478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.\",\"PeriodicalId\":190182,\"journal\":{\"name\":\"2017 International Siberian Conference on Control and Communications (SIBCON)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Siberian Conference on Control and Communications (SIBCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON.2017.7998478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2017.7998478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated dry-type transformer aging evaluation: A simulation study
Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
