Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645760
C. Bianchini, F. Immovilli, E. Lorenzani, A. Bellinil, E. Fomasicro
This paper focuses on the modeling and experimental validation of a diagnostic index for fault detection in multiphase machines. Experiments are carried out on of a five-phase permanent-magnet machine designed for fault tolerant applications. The diagnostic index is aimed at stator faults detection and is based upon the combination of information from two different reference frames. The diagnostic index effectiveness and robustness are assessed by Finite Element analysis and experiments.
{"title":"Experimental evaluation of combined reference frames transformation for stator fault detection in multi-phase machines","authors":"C. Bianchini, F. Immovilli, E. Lorenzani, A. Bellinil, E. Fomasicro","doi":"10.1109/DEMPED.2013.6645760","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645760","url":null,"abstract":"This paper focuses on the modeling and experimental validation of a diagnostic index for fault detection in multiphase machines. Experiments are carried out on of a five-phase permanent-magnet machine designed for fault tolerant applications. The diagnostic index is aimed at stator faults detection and is based upon the combination of information from two different reference frames. The diagnostic index effectiveness and robustness are assessed by Finite Element analysis and experiments.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127906529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645690
B. Ji, V. Pickert, W. Cao, L. Xing
This paper proposes a novel on-board condition monitoring of the aging of solder layers in IGBTs for electric vehicle applications. The diagnostic technique makes use of the chip itself as a temperature sensor while current sensors are already in place for control purposes. An auxiliary power supply unit which can be created from the 12V battery and an in situ data-logger circuit is developed for condition monitoring. The novel aspect of the proposed technique relates to monitoring IGBTs in situ when the electric vehicle is operating during stop-and-go traffic conditions or at routine services. The accelerated aging tests are performed on the test vehicles and the condition monitoring system is validated using simulation and thermo-electrical experimentation. The thermal performance of the thermal resistance/impedance and junction temperature of the IGBTs demonstrates the effectiveness of the proposed technique for IGBT health monitoring.
{"title":"Onboard condition monitoring of solder fatigue in IGBT power modules","authors":"B. Ji, V. Pickert, W. Cao, L. Xing","doi":"10.1109/DEMPED.2013.6645690","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645690","url":null,"abstract":"This paper proposes a novel on-board condition monitoring of the aging of solder layers in IGBTs for electric vehicle applications. The diagnostic technique makes use of the chip itself as a temperature sensor while current sensors are already in place for control purposes. An auxiliary power supply unit which can be created from the 12V battery and an in situ data-logger circuit is developed for condition monitoring. The novel aspect of the proposed technique relates to monitoring IGBTs in situ when the electric vehicle is operating during stop-and-go traffic conditions or at routine services. The accelerated aging tests are performed on the test vehicles and the condition monitoring system is validated using simulation and thermo-electrical experimentation. The thermal performance of the thermal resistance/impedance and junction temperature of the IGBTs demonstrates the effectiveness of the proposed technique for IGBT health monitoring.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115910437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645692
O. Touhami, R. Sadoun, A. Belouchrani, S. Hamdani, A. Boukoucha, S. Ouaged
Electrical machine condition monitoring is of particular important to factory efficiency and worker safety. A variety of signal analysis techniques exists for machine status diagnosis. This paper deals with remote diagnosis of electrical systems. Herein, we developed a remote monitoring system based on the Internet technology. The use of such system gives many advantages including minimum intervention on the client side, and simplicity to expand the system. The users can check the machine status data through the internet and mobile terminals. The automatic alarm part can actively send alerting messages to the engineers' mobile phones and call these phones to make sure they get alert when machine's status is abnormal. Another advantage is the reduction of the maintenance cost.
{"title":"Remote monitoring system of electrical machines via INTERNET","authors":"O. Touhami, R. Sadoun, A. Belouchrani, S. Hamdani, A. Boukoucha, S. Ouaged","doi":"10.1109/DEMPED.2013.6645692","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645692","url":null,"abstract":"Electrical machine condition monitoring is of particular important to factory efficiency and worker safety. A variety of signal analysis techniques exists for machine status diagnosis. This paper deals with remote diagnosis of electrical systems. Herein, we developed a remote monitoring system based on the Internet technology. The use of such system gives many advantages including minimum intervention on the client side, and simplicity to expand the system. The users can check the machine status data through the internet and mobile terminals. The automatic alarm part can actively send alerting messages to the engineers' mobile phones and call these phones to make sure they get alert when machine's status is abnormal. Another advantage is the reduction of the maintenance cost.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645727
Zheng Liu, W. Cao, Z. Tan, Xueguan Song, B. Ji, G. Tian
The doubly fed induction generator (DFIG) plays an important role in the wind power generation. With the ever-increasing demand for improving the reliability and energy efficiency whilst reducing the maintenance and operational costs, there is a trend to develop the state-of-the-art condition monitoring technologies in wind applications especially for offshore applications. Winding short-circuits faults are among major electrical failures in DFIGs and can be caused by many reasons and can lead to undesirable heating to impact on the performance of the machine. They have not been fully understood due to the complexity of the problem which requires 3D electromagnetic and thermal fields to understand the fault mechanisms. This paper presents coupled electromagnetic and thermal field analyses of DFIGs with a focus on winding faults. Finite element tools are used for analyzing the characteristics of magnetic field, temperature distribution and heat flow during the healthy and faulty operations. This work can provide an insight into the DFIG's stator and rotor winding faults and suggestions for improvement in thermal design of the DFIG machines.
{"title":"Electromagnetic and temperature field analyses of winding short-circuits in DFIGs","authors":"Zheng Liu, W. Cao, Z. Tan, Xueguan Song, B. Ji, G. Tian","doi":"10.1109/DEMPED.2013.6645727","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645727","url":null,"abstract":"The doubly fed induction generator (DFIG) plays an important role in the wind power generation. With the ever-increasing demand for improving the reliability and energy efficiency whilst reducing the maintenance and operational costs, there is a trend to develop the state-of-the-art condition monitoring technologies in wind applications especially for offshore applications. Winding short-circuits faults are among major electrical failures in DFIGs and can be caused by many reasons and can lead to undesirable heating to impact on the performance of the machine. They have not been fully understood due to the complexity of the problem which requires 3D electromagnetic and thermal fields to understand the fault mechanisms. This paper presents coupled electromagnetic and thermal field analyses of DFIGs with a focus on winding faults. Finite element tools are used for analyzing the characteristics of magnetic field, temperature distribution and heat flow during the healthy and faulty operations. This work can provide an insight into the DFIG's stator and rotor winding faults and suggestions for improvement in thermal design of the DFIG machines.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121481749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645739
C. Bruzzese
2-Pole turbogenerators are usually very high power round-rotor synchronous machines used in generating plants. Turbogenerator monitoring is crucial, especially in nuclear plants. Very long turbogenerator rotors experience excessive run-out due to thermal, mechanical, and magnetic unbalances, resonances, etc. The rotor eccentricity causes vibrations and winding and frame loosening. Since the stators of turbogenerators are often parallel-connected for maximum power output rating, the rotor eccentricities also make rise unbalances in the split-phase currents. This paper resorts to the split-phase current monitoring for detection and estimation of rotor eccentricities. A method is proposed, based on a special theoretical analysis of 2-pole round-rotor machines, through symmetrical components. Time-stepping finite-elements are used for confirmatory simulations of a 500MVA machine.
{"title":"2-Pole turbo-generator eccentricity diagnosis by split-phase current signature analysis","authors":"C. Bruzzese","doi":"10.1109/DEMPED.2013.6645739","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645739","url":null,"abstract":"2-Pole turbogenerators are usually very high power round-rotor synchronous machines used in generating plants. Turbogenerator monitoring is crucial, especially in nuclear plants. Very long turbogenerator rotors experience excessive run-out due to thermal, mechanical, and magnetic unbalances, resonances, etc. The rotor eccentricity causes vibrations and winding and frame loosening. Since the stators of turbogenerators are often parallel-connected for maximum power output rating, the rotor eccentricities also make rise unbalances in the split-phase currents. This paper resorts to the split-phase current monitoring for detection and estimation of rotor eccentricities. A method is proposed, based on a special theoretical analysis of 2-pole round-rotor machines, through symmetrical components. Time-stepping finite-elements are used for confirmatory simulations of a 500MVA machine.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114405389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645704
R. Romero-Troncoso, D. Morinigo-Sotelo, Ó. Duque-Pérez, P. E. Gardel-Sotomayor, R. Osornio-Rios, A. García-Perez
Condition monitoring has become necessary to detect failures in induction motors (IM) where the detection of incipient faults is of great concern. However, the detection of partially-broken rotor bars at an early stage is not so easily achieved. Therefore, it is necessary to use suitable condition monitoring accompanied with signal processing techniques to detect partially-broken rotor bar. This paper presents a comparative study of various condition monitoring methods accomplished for IM with the aim of early detection of one partially-broken rotor bar by steady-state current spectrum analysis and different supply conditions, such as two different variable speed drives providing three fundamental supply frequencies, and the line supply case. The study includes three different load conditions for each case. Results show that the most accurate and robust analysis methodology for early detection of broken rotor bars under different supply conditions, fundamental supply frequencies and load conditions during steady-state analysis, are the subspace methods.
{"title":"Early broken rotor bar detection techniques in VSD-fed induction motors at steady-state","authors":"R. Romero-Troncoso, D. Morinigo-Sotelo, Ó. Duque-Pérez, P. E. Gardel-Sotomayor, R. Osornio-Rios, A. García-Perez","doi":"10.1109/DEMPED.2013.6645704","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645704","url":null,"abstract":"Condition monitoring has become necessary to detect failures in induction motors (IM) where the detection of incipient faults is of great concern. However, the detection of partially-broken rotor bars at an early stage is not so easily achieved. Therefore, it is necessary to use suitable condition monitoring accompanied with signal processing techniques to detect partially-broken rotor bar. This paper presents a comparative study of various condition monitoring methods accomplished for IM with the aim of early detection of one partially-broken rotor bar by steady-state current spectrum analysis and different supply conditions, such as two different variable speed drives providing three fundamental supply frequencies, and the line supply case. The study includes three different load conditions for each case. Results show that the most accurate and robust analysis methodology for early detection of broken rotor bars under different supply conditions, fundamental supply frequencies and load conditions during steady-state analysis, are the subspace methods.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132837979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645749
Ramin Salehi Arashloo, Jose Luis Romeral Martinez, M. Salehifar
Detection of broken rotor bars has been an important but difficult work in fault diagnosis area of induction motors. The characteristic frequency components of faulted rotor are very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. In the present study, a new method is proposed in order to remove the main frequency component, resulting in more efficient detection of the rotor fault characteristics in the frequency spectrum of stator currents. The method is based on Park's transformation in combination with discrete wavelet decomposition to eliminate the effect of main frequency and zoom on the energy of objective fault related frequency components. In addition, the method efficiency is evaluated using Simulations in Matlab.
{"title":"A novel broken rotor bar fault detection method using park's transform and wavelet decomposition","authors":"Ramin Salehi Arashloo, Jose Luis Romeral Martinez, M. Salehifar","doi":"10.1109/DEMPED.2013.6645749","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645749","url":null,"abstract":"Detection of broken rotor bars has been an important but difficult work in fault diagnosis area of induction motors. The characteristic frequency components of faulted rotor are very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. In the present study, a new method is proposed in order to remove the main frequency component, resulting in more efficient detection of the rotor fault characteristics in the frequency spectrum of stator currents. The method is based on Park's transformation in combination with discrete wavelet decomposition to eliminate the effect of main frequency and zoom on the energy of objective fault related frequency components. In addition, the method efficiency is evaluated using Simulations in Matlab.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133010159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645755
Sijo Augustine, M. Mishra, N. Lakshminarasamma
This paper investigates the relationship between current sharing difference and circulating current for two parallel connected dc-dc converters. In the proposed algorithm a new figure-of-merit called Droop Index is introduced, which is a function of normalized current sharing difference and losses in the output side of the converters. This algorithm minimizes the circulating current and current sharing difference between the converters. Although there may exist a trade-off between current sharing difference and voltage regulation, the proposed droop index algorithm gives better performance and low voltage regulation. The detailed analysis and design procedure are explained for two dc-dc boost converters connected in parallel. The effectiveness of proposed method is verified using MATLAB simulation.
{"title":"Circulating current minimization and current sharing control of parallel boost converters based on Droop Index","authors":"Sijo Augustine, M. Mishra, N. Lakshminarasamma","doi":"10.1109/DEMPED.2013.6645755","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645755","url":null,"abstract":"This paper investigates the relationship between current sharing difference and circulating current for two parallel connected dc-dc converters. In the proposed algorithm a new figure-of-merit called Droop Index is introduced, which is a function of normalized current sharing difference and losses in the output side of the converters. This algorithm minimizes the circulating current and current sharing difference between the converters. Although there may exist a trade-off between current sharing difference and voltage regulation, the proposed droop index algorithm gives better performance and low voltage regulation. The detailed analysis and design procedure are explained for two dc-dc boost converters connected in parallel. The effectiveness of proposed method is verified using MATLAB simulation.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123688480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645777
A. Picot, D. Malec, P. Maussion
The aim of this paper is to present some improvements of the method for modeling the lifespan of insulation materials in a partial discharge regime. The first step is based on the design of experiments which is well-known for reducing the number experiments and increasing the accuracy of the model. Accelerated aging tests are carried out to determine the lifespan of polyesteimide insulation films under different various stress conditions. A lifespan model is achieved, including an original relationship between the logarithm of the insulation lifespan and that of electrically applied stress and an exponential form of the temperature. The significance of the resulting factor effects are tested through the analysis of variance. Moreover, response surface is helpful to take into account some second order terms in the model and to improve its accuracy. Finally, the model validity is tested with additional points which have not been used for modeling.
{"title":"Improvements on lifespan modeling of the insulation of low voltage machines with response surface and analysis of variance","authors":"A. Picot, D. Malec, P. Maussion","doi":"10.1109/DEMPED.2013.6645777","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645777","url":null,"abstract":"The aim of this paper is to present some improvements of the method for modeling the lifespan of insulation materials in a partial discharge regime. The first step is based on the design of experiments which is well-known for reducing the number experiments and increasing the accuracy of the model. Accelerated aging tests are carried out to determine the lifespan of polyesteimide insulation films under different various stress conditions. A lifespan model is achieved, including an original relationship between the logarithm of the insulation lifespan and that of electrically applied stress and an exponential form of the temperature. The significance of the resulting factor effects are tested through the analysis of variance. Moreover, response surface is helpful to take into account some second order terms in the model and to improve its accuracy. Finally, the model validity is tested with additional points which have not been used for modeling.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116481837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-24DOI: 10.1109/DEMPED.2013.6645778
S. S. H. Zaidi
Extensive work has been presented in the literature related to fault diagnosis and prognosis of machines and related components. Prime focus of the proposed techniques is on either on assembly line checkout of machines or newly installed machines as a large number of methods are based on supervised learning. In this paper, fault diagnosis algorithm of in-service DC starter motor is presented. The proposed approach encompasses on the development of predefined fault progression curves. Features to develop these curves are extracted from machine current in time frequency domain. According to the proposed method, a number of curves are developed each of different order and slope. As the machine fault progresses, the fault features are projected on these curves and the % fault severity is identified. The results are presented and conclusions are made.
{"title":"Diagnosis and prognosis of in-service electric machine in the absence of historic data related to faults and faults progression","authors":"S. S. H. Zaidi","doi":"10.1109/DEMPED.2013.6645778","DOIUrl":"https://doi.org/10.1109/DEMPED.2013.6645778","url":null,"abstract":"Extensive work has been presented in the literature related to fault diagnosis and prognosis of machines and related components. Prime focus of the proposed techniques is on either on assembly line checkout of machines or newly installed machines as a large number of methods are based on supervised learning. In this paper, fault diagnosis algorithm of in-service DC starter motor is presented. The proposed approach encompasses on the development of predefined fault progression curves. Features to develop these curves are extracted from machine current in time frequency domain. According to the proposed method, a number of curves are developed each of different order and slope. As the machine fault progresses, the fault features are projected on these curves and the % fault severity is identified. The results are presented and conclusions are made.","PeriodicalId":425644,"journal":{"name":"2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121773124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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