Zhenyu Zhao, K. See, E. Chua, A. Narayanan, Arjuna Weerasinghe, Zhenning Yang, K. Tan
{"title":"基于非侵入式阻抗提取技术的异步电动机定子绕组绝缘故障在线检测","authors":"Zhenyu Zhao, K. See, E. Chua, A. Narayanan, Arjuna Weerasinghe, Zhenning Yang, K. Tan","doi":"10.1109/ICIRT.2018.8641627","DOIUrl":null,"url":null,"abstract":"The induction motor has been widely used in a variety of industrial applications and is usually critical to the safe and reliable operation of the entire system. Since the insulation faults of the stator winding have accounted for a large proportion of faults in various induction motors, the technique to detect the early-stage insulation faults of the stator winding will be very useful as a timely maintenance scheme can be conducted for preventing the faults proliferation, thereby, reducing the safety risks, motor downtime, and the cost from maintenance and downtime. Therefore, this paper describes an online stator winding insulation faults detection method based on a non-intrusive impedance extraction technique. Experimental results show that the proposed method has the ability to detect the early-stage insulation faults of the stator winding before a catastrophic failure occurs with a simple onsite implementation and low safety hazards.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Online Insulation Fault Detection of Stator Winding of Induction Motor based on a Non-Intrusive Impedance Extraction Technique\",\"authors\":\"Zhenyu Zhao, K. See, E. Chua, A. Narayanan, Arjuna Weerasinghe, Zhenning Yang, K. Tan\",\"doi\":\"10.1109/ICIRT.2018.8641627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The induction motor has been widely used in a variety of industrial applications and is usually critical to the safe and reliable operation of the entire system. Since the insulation faults of the stator winding have accounted for a large proportion of faults in various induction motors, the technique to detect the early-stage insulation faults of the stator winding will be very useful as a timely maintenance scheme can be conducted for preventing the faults proliferation, thereby, reducing the safety risks, motor downtime, and the cost from maintenance and downtime. Therefore, this paper describes an online stator winding insulation faults detection method based on a non-intrusive impedance extraction technique. Experimental results show that the proposed method has the ability to detect the early-stage insulation faults of the stator winding before a catastrophic failure occurs with a simple onsite implementation and low safety hazards.\",\"PeriodicalId\":202415,\"journal\":{\"name\":\"2018 International Conference on Intelligent Rail Transportation (ICIRT)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Intelligent Rail Transportation (ICIRT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIRT.2018.8641627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRT.2018.8641627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online Insulation Fault Detection of Stator Winding of Induction Motor based on a Non-Intrusive Impedance Extraction Technique
The induction motor has been widely used in a variety of industrial applications and is usually critical to the safe and reliable operation of the entire system. Since the insulation faults of the stator winding have accounted for a large proportion of faults in various induction motors, the technique to detect the early-stage insulation faults of the stator winding will be very useful as a timely maintenance scheme can be conducted for preventing the faults proliferation, thereby, reducing the safety risks, motor downtime, and the cost from maintenance and downtime. Therefore, this paper describes an online stator winding insulation faults detection method based on a non-intrusive impedance extraction technique. Experimental results show that the proposed method has the ability to detect the early-stage insulation faults of the stator winding before a catastrophic failure occurs with a simple onsite implementation and low safety hazards.