{"title":"三相感应电动机状态监测","authors":"Rakeshkumar A. Patel, B. Bhalja, Md. Aftab Alam","doi":"10.1109/ICCE50343.2020.9290540","DOIUrl":null,"url":null,"abstract":"Analysis of stator current and vibration of induction motor has long been used, in researches as well as industries, for the condition monitoring purpose. This paper presents the hardware results of three phase induction motor condition monitoring by current and vibration analysis, presenting one novel diagnosis method while analyzing the frequency spectra. Here current and vibration data are collected with the help of Digital Storage Oscilloscope and Vibration Analyzer respectively. These collected data are used to obtain frequency components of current and vibration with the help of MATLAB program. Later, the set of the most dominating frequency components of current and vibration are compared with that of healthy motor in order to establish the healthy/faulty condition. A 3 HP, 2.2 KW, three-phase induction motor has been used for analysis purpose. Three types of major faults, namely, stator inter turn short, rotor broken bar and bearing defect are considered. The proposed method proves to be quite successful in predicting rotor and bearing faults, while not being so successful in detecting stator inter-turn faults.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Condition Monitoring of Three-Phase Induction Motor\",\"authors\":\"Rakeshkumar A. Patel, B. Bhalja, Md. Aftab Alam\",\"doi\":\"10.1109/ICCE50343.2020.9290540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis of stator current and vibration of induction motor has long been used, in researches as well as industries, for the condition monitoring purpose. This paper presents the hardware results of three phase induction motor condition monitoring by current and vibration analysis, presenting one novel diagnosis method while analyzing the frequency spectra. Here current and vibration data are collected with the help of Digital Storage Oscilloscope and Vibration Analyzer respectively. These collected data are used to obtain frequency components of current and vibration with the help of MATLAB program. Later, the set of the most dominating frequency components of current and vibration are compared with that of healthy motor in order to establish the healthy/faulty condition. A 3 HP, 2.2 KW, three-phase induction motor has been used for analysis purpose. Three types of major faults, namely, stator inter turn short, rotor broken bar and bearing defect are considered. The proposed method proves to be quite successful in predicting rotor and bearing faults, while not being so successful in detecting stator inter-turn faults.\",\"PeriodicalId\":421963,\"journal\":{\"name\":\"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE50343.2020.9290540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE50343.2020.9290540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Condition Monitoring of Three-Phase Induction Motor
Analysis of stator current and vibration of induction motor has long been used, in researches as well as industries, for the condition monitoring purpose. This paper presents the hardware results of three phase induction motor condition monitoring by current and vibration analysis, presenting one novel diagnosis method while analyzing the frequency spectra. Here current and vibration data are collected with the help of Digital Storage Oscilloscope and Vibration Analyzer respectively. These collected data are used to obtain frequency components of current and vibration with the help of MATLAB program. Later, the set of the most dominating frequency components of current and vibration are compared with that of healthy motor in order to establish the healthy/faulty condition. A 3 HP, 2.2 KW, three-phase induction motor has been used for analysis purpose. Three types of major faults, namely, stator inter turn short, rotor broken bar and bearing defect are considered. The proposed method proves to be quite successful in predicting rotor and bearing faults, while not being so successful in detecting stator inter-turn faults.