C. Concari, G. Pietrini, Alessandro Soldati, C. Tassoni, A. Toscani, G. Franceschini
{"title":"有转子故障的感应电机:不同运行条件和机器尺寸的物理量分析以改进诊断","authors":"C. Concari, G. Pietrini, Alessandro Soldati, C. Tassoni, A. Toscani, G. Franceschini","doi":"10.1109/SPEEDAM.2018.8445295","DOIUrl":null,"url":null,"abstract":"This paper extends the authors' deep investigation of the electric rotor fault signatures of induction machines to machines of different size operating in various conditions. Authors researches have already shown the limits of the usual diagnostic procedures based on the sum of both left and right current sidebands. A proper faulty machine model leading to a more robust diagnosis has been proposed and the effect of machine size and load conditions on current space vector sidebands, flux, torque and speed spectral components is shown. These physical quantities, in case of small faults, can be described by their representative phasors in a synchronous reference frame. The analytical links among the phasors are validated by simulations and experiments. The prominent role of mechanical inertia in the diagnostic process is highlighted, assessing the range of validity of the usual diagnostic index versus machine size and load, eventually an alternative procedure is here proposed.","PeriodicalId":117883,"journal":{"name":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Induction Machines with Rotor Faults: Analysis of the Physical Quantities for Different Operating Conditions and Machine Sizes for Improved Diagnostics\",\"authors\":\"C. Concari, G. Pietrini, Alessandro Soldati, C. Tassoni, A. Toscani, G. Franceschini\",\"doi\":\"10.1109/SPEEDAM.2018.8445295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper extends the authors' deep investigation of the electric rotor fault signatures of induction machines to machines of different size operating in various conditions. Authors researches have already shown the limits of the usual diagnostic procedures based on the sum of both left and right current sidebands. A proper faulty machine model leading to a more robust diagnosis has been proposed and the effect of machine size and load conditions on current space vector sidebands, flux, torque and speed spectral components is shown. These physical quantities, in case of small faults, can be described by their representative phasors in a synchronous reference frame. The analytical links among the phasors are validated by simulations and experiments. The prominent role of mechanical inertia in the diagnostic process is highlighted, assessing the range of validity of the usual diagnostic index versus machine size and load, eventually an alternative procedure is here proposed.\",\"PeriodicalId\":117883,\"journal\":{\"name\":\"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPEEDAM.2018.8445295\",\"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 Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM.2018.8445295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Induction Machines with Rotor Faults: Analysis of the Physical Quantities for Different Operating Conditions and Machine Sizes for Improved Diagnostics
This paper extends the authors' deep investigation of the electric rotor fault signatures of induction machines to machines of different size operating in various conditions. Authors researches have already shown the limits of the usual diagnostic procedures based on the sum of both left and right current sidebands. A proper faulty machine model leading to a more robust diagnosis has been proposed and the effect of machine size and load conditions on current space vector sidebands, flux, torque and speed spectral components is shown. These physical quantities, in case of small faults, can be described by their representative phasors in a synchronous reference frame. The analytical links among the phasors are validated by simulations and experiments. The prominent role of mechanical inertia in the diagnostic process is highlighted, assessing the range of validity of the usual diagnostic index versus machine size and load, eventually an alternative procedure is here proposed.