{"title":"基于特征互关分析的异步电动机定子匝间故障表征","authors":"Susanta Ray, D. Dey","doi":"10.1109/ICICPI.2016.7859721","DOIUrl":null,"url":null,"abstract":"Induction Motor current analysis or IMCA-based condition monitoring attained so much importance in recent years for its technical and economic advantages over other techniques. Accurate identification of stator inter-turn faults for induction motors at the initial stage, i.e., minor turns-to-turn fault is of great importance. The objective of this work is to characterize stator turn to turn fault during a few-turn-short-circuit fault condition. Cross-correlograms of stator currents of healthy and different fault conditions have been judiciously used to extract a few significant features. An exclusive experimental test rig has been setup to emulate the fault and to obtain the stator current signatures. The whole analysis is based on these signatures only.","PeriodicalId":6501,"journal":{"name":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","volume":"3 1","pages":"297-301"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Characterization of stator turn to turn faults of induction motor using cross-correlation analysis based features\",\"authors\":\"Susanta Ray, D. Dey\",\"doi\":\"10.1109/ICICPI.2016.7859721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Induction Motor current analysis or IMCA-based condition monitoring attained so much importance in recent years for its technical and economic advantages over other techniques. Accurate identification of stator inter-turn faults for induction motors at the initial stage, i.e., minor turns-to-turn fault is of great importance. The objective of this work is to characterize stator turn to turn fault during a few-turn-short-circuit fault condition. Cross-correlograms of stator currents of healthy and different fault conditions have been judiciously used to extract a few significant features. An exclusive experimental test rig has been setup to emulate the fault and to obtain the stator current signatures. The whole analysis is based on these signatures only.\",\"PeriodicalId\":6501,\"journal\":{\"name\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"volume\":\"3 1\",\"pages\":\"297-301\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICPI.2016.7859721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICPI.2016.7859721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterization of stator turn to turn faults of induction motor using cross-correlation analysis based features
Induction Motor current analysis or IMCA-based condition monitoring attained so much importance in recent years for its technical and economic advantages over other techniques. Accurate identification of stator inter-turn faults for induction motors at the initial stage, i.e., minor turns-to-turn fault is of great importance. The objective of this work is to characterize stator turn to turn fault during a few-turn-short-circuit fault condition. Cross-correlograms of stator currents of healthy and different fault conditions have been judiciously used to extract a few significant features. An exclusive experimental test rig has been setup to emulate the fault and to obtain the stator current signatures. The whole analysis is based on these signatures only.