{"title":"故障感应电动机的型号比较:性能和应用","authors":"J. Sprooten, J. Gyselinck, J. Maun","doi":"10.1109/DEMPED.2007.4393083","DOIUrl":null,"url":null,"abstract":"This paper proposes a comparison of several circuit models of induction motors with broken bars in terms of representation of the phenomena, identifiability of its parameters as well as computing time. Such a comparison is rare as many papers focus on the presentation of new models. The three models studied in this paper are based on electrical circuit equations obtained using a common set of hypotheses which is important to reach the objectives. The different models are totally equivalent in healthy operations. A d-q stator transformation is used for the implementation of Model 1, a asymmetrical d-q rotor transformation is then added in the case of Model 2 and the application of the theorem of superposition leads to Model 3. Model 1 gives quite accurate results but requires extensive computing time and a precise knowledge of the rotor parameters. Equivalent performances are obtained with Model 2 but with a much lower computing time. The drawback is that the value of the d and q rotor resistances and inductances need to be numerically computed as they are functions of the slip. Finally Model 3 reaches less accurate results for high fault magnitude but in a low computing time and with few parameter knowledge as well as a good interpretation of the faulty machine behaviour. The three presented models cover then the complete range of applications, i.e. from the faulty machine test platform to the on-line diagnosis of machines.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Comparison of models of faulty induction motors: Performances and applications\",\"authors\":\"J. Sprooten, J. Gyselinck, J. Maun\",\"doi\":\"10.1109/DEMPED.2007.4393083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a comparison of several circuit models of induction motors with broken bars in terms of representation of the phenomena, identifiability of its parameters as well as computing time. Such a comparison is rare as many papers focus on the presentation of new models. The three models studied in this paper are based on electrical circuit equations obtained using a common set of hypotheses which is important to reach the objectives. The different models are totally equivalent in healthy operations. A d-q stator transformation is used for the implementation of Model 1, a asymmetrical d-q rotor transformation is then added in the case of Model 2 and the application of the theorem of superposition leads to Model 3. Model 1 gives quite accurate results but requires extensive computing time and a precise knowledge of the rotor parameters. Equivalent performances are obtained with Model 2 but with a much lower computing time. The drawback is that the value of the d and q rotor resistances and inductances need to be numerically computed as they are functions of the slip. Finally Model 3 reaches less accurate results for high fault magnitude but in a low computing time and with few parameter knowledge as well as a good interpretation of the faulty machine behaviour. The three presented models cover then the complete range of applications, i.e. from the faulty machine test platform to the on-line diagnosis of machines.\",\"PeriodicalId\":185737,\"journal\":{\"name\":\"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEMPED.2007.4393083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2007.4393083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of models of faulty induction motors: Performances and applications
This paper proposes a comparison of several circuit models of induction motors with broken bars in terms of representation of the phenomena, identifiability of its parameters as well as computing time. Such a comparison is rare as many papers focus on the presentation of new models. The three models studied in this paper are based on electrical circuit equations obtained using a common set of hypotheses which is important to reach the objectives. The different models are totally equivalent in healthy operations. A d-q stator transformation is used for the implementation of Model 1, a asymmetrical d-q rotor transformation is then added in the case of Model 2 and the application of the theorem of superposition leads to Model 3. Model 1 gives quite accurate results but requires extensive computing time and a precise knowledge of the rotor parameters. Equivalent performances are obtained with Model 2 but with a much lower computing time. The drawback is that the value of the d and q rotor resistances and inductances need to be numerically computed as they are functions of the slip. Finally Model 3 reaches less accurate results for high fault magnitude but in a low computing time and with few parameter knowledge as well as a good interpretation of the faulty machine behaviour. The three presented models cover then the complete range of applications, i.e. from the faulty machine test platform to the on-line diagnosis of machines.