Pub Date : 2005-09-01DOI: 10.1109/DEMPED.2005.4662535
H. Henao, C. Martis, G.A. Gapolino
This paper presents an analytical approach of the frequency response for the wound rotor induction machine as a possible method for fault diagnosis. This approach is based on mmf, flux and emf computation for both healthy and faulty machines during any operating condition. The proposed technique is applied to study the effect of opening one phase either on stator or rotor sides. The computed harmonics of both stator and rotor currents are experimentally verified on a test-bed based on a small power wound rotor induction machine.
{"title":"Analytical approach of the frequency response for the wound rotor induction machine for diagnosis purpose","authors":"H. Henao, C. Martis, G.A. Gapolino","doi":"10.1109/DEMPED.2005.4662535","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662535","url":null,"abstract":"This paper presents an analytical approach of the frequency response for the wound rotor induction machine as a possible method for fault diagnosis. This approach is based on mmf, flux and emf computation for both healthy and faulty machines during any operating condition. The proposed technique is applied to study the effect of opening one phase either on stator or rotor sides. The computed harmonics of both stator and rotor currents are experimentally verified on a test-bed based on a small power wound rotor induction machine.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116536248","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662545
I. Tsoumas, E. Mitronikas, G. Georgoulas, A. Safacas
This paper provides a comprehensive comparison of motor current signature analysis techniques for broken rotor bars and air gap eccentricity detection in induction motors. Four characteristic categories of processing methods are investigated, which are Fourier based analysis of the phase currents, parametric and eigenanalysis methods for spectrum estimation of the phase currents, wavelet analysis of the phase currents and current space vector analysis. The analysis is at first performed through simulation of a faulty asynchronous machine in Matlab-Simulink. Subsequent to the simulation results analysis, an experimental fault test rig was designed and implemented for the investigation of the aforementioned malfunctions. In this preliminary investigation, each analysis technique along with its advantages and disadvantages is presented and briefly discussed.
{"title":"A comparative study of induction motor current signature analysis techniques for mechanical faults detection","authors":"I. Tsoumas, E. Mitronikas, G. Georgoulas, A. Safacas","doi":"10.1109/DEMPED.2005.4662545","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662545","url":null,"abstract":"This paper provides a comprehensive comparison of motor current signature analysis techniques for broken rotor bars and air gap eccentricity detection in induction motors. Four characteristic categories of processing methods are investigated, which are Fourier based analysis of the phase currents, parametric and eigenanalysis methods for spectrum estimation of the phase currents, wavelet analysis of the phase currents and current space vector analysis. The analysis is at first performed through simulation of a faulty asynchronous machine in Matlab-Simulink. Subsequent to the simulation results analysis, an experimental fault test rig was designed and implemented for the investigation of the aforementioned malfunctions. In this preliminary investigation, each analysis technique along with its advantages and disadvantages is presented and briefly discussed.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493245","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662492
P. Vicente, J. Rodriguez, M. Negrea, A. Arkkio
This work proposes a general scheme to detect induction motor faults by monitoring the motor current. The scheme is based on signal processing (predictive filters), soft computing techniques (fuzzy logic), the analytical studies of induction motor under fault conditions and the analysis of data generated by finite element method (FEM). The predictive filter is used in order to separate the fundamental component from the harmonic components. Fuzzy logic is used to identify the motor state and FEM is utilized to generate virtual data. A simple and reliable method for the detection of stator failures based on the phase current amplitudes is implemented and tested. The layout has been proved in MATLAB/SIMULINK, with both data from FEM motor simulation program and real measurements. The proposed method is simple and has the ability to work with variable speed drives. This work, on one hand, shows the feasibility of spotting broken bars and inter-turn short-circuit by monitoring the motor currents. On the other hand, it shows that the detection of eccentricity and bearing fault by monitoring the motor current is a difficult task.
{"title":"A general scheme for induction motor condition monitoring","authors":"P. Vicente, J. Rodriguez, M. Negrea, A. Arkkio","doi":"10.1109/DEMPED.2005.4662492","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662492","url":null,"abstract":"This work proposes a general scheme to detect induction motor faults by monitoring the motor current. The scheme is based on signal processing (predictive filters), soft computing techniques (fuzzy logic), the analytical studies of induction motor under fault conditions and the analysis of data generated by finite element method (FEM). The predictive filter is used in order to separate the fundamental component from the harmonic components. Fuzzy logic is used to identify the motor state and FEM is utilized to generate virtual data. A simple and reliable method for the detection of stator failures based on the phase current amplitudes is implemented and tested. The layout has been proved in MATLAB/SIMULINK, with both data from FEM motor simulation program and real measurements. The proposed method is simple and has the ability to work with variable speed drives. This work, on one hand, shows the feasibility of spotting broken bars and inter-turn short-circuit by monitoring the motor currents. On the other hand, it shows that the detection of eccentricity and bearing fault by monitoring the motor current is a difficult task.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128163490","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662500
W. Zanardelli, E. Strangas, Selin Aviyente
Prognosis for failure of an electric machine can be achieved through the detection of noncatastrophic faults. As the frequency of these types of faults increases, the working life of the machine is decreased, leading to eventual failure. In this work, two types of stator faults are studied. The methods developed are based on analysis of the short-time Fourier transform of the field oriented machine currents. Linear discriminant analysis is used to classify between the fault types.
{"title":"Intermittent fault identification for permanent magnet AC drives based on the Short-Time Fourier Transform","authors":"W. Zanardelli, E. Strangas, Selin Aviyente","doi":"10.1109/DEMPED.2005.4662500","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662500","url":null,"abstract":"Prognosis for failure of an electric machine can be achieved through the detection of noncatastrophic faults. As the frequency of these types of faults increases, the working life of the machine is decreased, leading to eventual failure. In this work, two types of stator faults are studied. The methods developed are based on analysis of the short-time Fourier transform of the field oriented machine currents. Linear discriminant analysis is used to classify between the fault types.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133268644","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662533
A. Bellini, F. Filippetti, F. Franceschini, T. Sobczyk, C. Tassoni
Recently both d-q and instantaneous symmetrical components (i.s.c.) models for faulty cage induction machines have been proposed for numerical simulations of stator instantaneous currents. Applying FFT algorithm to stator current the sideband components at frequencies (1-2s)f can be evaluated. The amplitudes of these components are commonly used as diagnostic index to assess rotor condition in the MCSA diagnostic procedures. With the assumption of infinite machine-load combined inertia value or ideal speed control the speed ripple due to rotor asymmetry will not be present. Steady-state conditions can be considered and only the component at frequency (1-2s)f will appear. If the above assumption does not hold, the (1-2s)f component correspond to the sum of the two sideband lines. In any case the parameterization, i.e. the definition of an asymmetry factor used as diagnostic index to define the fault severity, is a key item. The simplest asymmetry factor may be the definition of an equivalent additional resistance DeltaRr linked to the number of contiguous broken bars. In this paper the proposals about the quantization of DeltaRr found in the literature are reviewed and compared with reference to one broken bar. A new proposal is also presented and its effectiveness is proven.
{"title":"Diagnosis of induction machines by d-q and i.s.c. rotor models","authors":"A. Bellini, F. Filippetti, F. Franceschini, T. Sobczyk, C. Tassoni","doi":"10.1109/DEMPED.2005.4662533","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662533","url":null,"abstract":"Recently both d-q and instantaneous symmetrical components (i.s.c.) models for faulty cage induction machines have been proposed for numerical simulations of stator instantaneous currents. Applying FFT algorithm to stator current the sideband components at frequencies (1-2s)f can be evaluated. The amplitudes of these components are commonly used as diagnostic index to assess rotor condition in the MCSA diagnostic procedures. With the assumption of infinite machine-load combined inertia value or ideal speed control the speed ripple due to rotor asymmetry will not be present. Steady-state conditions can be considered and only the component at frequency (1-2s)f will appear. If the above assumption does not hold, the (1-2s)f component correspond to the sum of the two sideband lines. In any case the parameterization, i.e. the definition of an asymmetry factor used as diagnostic index to define the fault severity, is a key item. The simplest asymmetry factor may be the definition of an equivalent additional resistance DeltaRr linked to the number of contiguous broken bars. In this paper the proposals about the quantization of DeltaRr found in the literature are reviewed and compared with reference to one broken bar. A new proposal is also presented and its effectiveness is proven.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156992","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662515
C. Kral, H. Kapeller, F. Pirker, G. Pascoli
This contribution investigates the Vienna monitoring method during transient operation. The Vienna monitoring method is a rotor fault detection technique based on two space phasor machine models. These models derive quantities such as flux and torque. An induction machine with rotor asymmetries gives rise to double slip frequency oscillations of shaft torque. These oscillations are also reflected in the modelled torques. Accordingly, the fault indicator of the Vienna Monitoring Method is derived from the difference of the computed torques to compensate load effects. This paper presents measurement results regarding the Vienna Monitoring Method during stationary and transient operating conditions. The transient conditions include varying voltage and frequency as well as varying torque. The two transient cases are a challenge for any rotor fault detection technique, since the magnitudes and frequencies of fault-specific signatures are highly load and speed dependent.
{"title":"Detection of rotor faults under transient operating conditions by means of the Vienna Monitoring Method","authors":"C. Kral, H. Kapeller, F. Pirker, G. Pascoli","doi":"10.1109/DEMPED.2005.4662515","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662515","url":null,"abstract":"This contribution investigates the Vienna monitoring method during transient operation. The Vienna monitoring method is a rotor fault detection technique based on two space phasor machine models. These models derive quantities such as flux and torque. An induction machine with rotor asymmetries gives rise to double slip frequency oscillations of shaft torque. These oscillations are also reflected in the modelled torques. Accordingly, the fault indicator of the Vienna Monitoring Method is derived from the difference of the computed torques to compensate load effects. This paper presents measurement results regarding the Vienna Monitoring Method during stationary and transient operating conditions. The transient conditions include varying voltage and frequency as well as varying torque. The two transient cases are a challenge for any rotor fault detection technique, since the magnitudes and frequencies of fault-specific signatures are highly load and speed dependent.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592684","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662544
A. Yazidi, H. Henao, G. Capolino, D. Casadei, F. Filippetti, C. Rossi
For modern large wind farms, it is more and more interesting to design an efficient diagnostics system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). In this paper, a complete system will be analyzed by suitable simulations to deeply study fault influence and to identify the best diagnostic procedure to perform predictive maintenance. All the research efforts have been developed on different signature analysis (XSA) in order to detect or to predict electrical and mechanical faults in wound-rotor induction machines. They will be applied on wind turbine generators and their effectiveness will be studied.
{"title":"Simulation of a doubly-fed induction machine for wind turbine generator fault analysis","authors":"A. Yazidi, H. Henao, G. Capolino, D. Casadei, F. Filippetti, C. Rossi","doi":"10.1109/DEMPED.2005.4662544","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662544","url":null,"abstract":"For modern large wind farms, it is more and more interesting to design an efficient diagnostics system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). In this paper, a complete system will be analyzed by suitable simulations to deeply study fault influence and to identify the best diagnostic procedure to perform predictive maintenance. All the research efforts have been developed on different signature analysis (XSA) in order to detect or to predict electrical and mechanical faults in wound-rotor induction machines. They will be applied on wind turbine generators and their effectiveness will be studied.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128041071","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662549
C. Boccaletti, C. Bruzzese, O. Honorati, E. Santini
In a companion paper (Part I) the bar breakages for a 1.13 MW induction motor used in high speed railway traction drives were studied, by simulating the whole system (converter + motor) and by analyzing frequencies and amplitudes of current sidebands, for various loads (both active and inertial) and with increasing fault severity. It was recognized that faults can be characterized by (1-2s)f sideband, but results vary with load torque and drive inertia. Other sidebands appear less dependent from these disturbs, like (5+2s)f. Unfortunately, no works presented simple and general formulas about sidebands. In this paper, theoretical formulations for computation and prediction of rotor fault-related sideband frequencies and amplitudes are given, aiming to obtain relations useful for diagnostic purposes (fault severity assessment by MCSA), and by using Part I as a case-study. A decomposition by multiphase symmetrical components is performed, taking in account space harmonics. Formulas for (1-2s)f sideband amplitude are carried out, extendable to many other sidebands.
{"title":"Rotor bars breakage in railway traction squirrel cage induction motors and diagnosis by MCSA technique Part II : Theoretical arrangements for fault-related current sidebands","authors":"C. Boccaletti, C. Bruzzese, O. Honorati, E. Santini","doi":"10.1109/DEMPED.2005.4662549","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662549","url":null,"abstract":"In a companion paper (Part I) the bar breakages for a 1.13 MW induction motor used in high speed railway traction drives were studied, by simulating the whole system (converter + motor) and by analyzing frequencies and amplitudes of current sidebands, for various loads (both active and inertial) and with increasing fault severity. It was recognized that faults can be characterized by (1-2s)f sideband, but results vary with load torque and drive inertia. Other sidebands appear less dependent from these disturbs, like (5+2s)f. Unfortunately, no works presented simple and general formulas about sidebands. In this paper, theoretical formulations for computation and prediction of rotor fault-related sideband frequencies and amplitudes are given, aiming to obtain relations useful for diagnostic purposes (fault severity assessment by MCSA), and by using Part I as a case-study. A decomposition by multiphase symmetrical components is performed, taking in account space harmonics. Formulas for (1-2s)f sideband amplitude are carried out, extendable to many other sidebands.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116540149","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662512
A. Talha, F. Bouchafaa, E. Berkouk, M. Boucherit, S. Kouroughli
In this paper, the authorpsilas present one algorithm of algebraic PWM strategy for seven-level neutral point clamping (NPC) voltage source inverter (VSI) is presented. This algorithm uses a control model of the inverter developed previously by the authors. In the first part, we develop a working model of this inverter, without presumption on its control, by using the connection functions of this converter. In the second part the control models of this converter by using respectively instantaneous and generating connection functions are reviewed. In the last part, one algebraic PWM control strategy of the inverter is proposed. The obtained results are full of promise to use this digital strategy to control seven-level NPC VSI used in high voltage, high power applications as electrical traction.
{"title":"Novel algebraic PWM strategy of a multilevel Voltage Source Inverter","authors":"A. Talha, F. Bouchafaa, E. Berkouk, M. Boucherit, S. Kouroughli","doi":"10.1109/DEMPED.2005.4662512","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662512","url":null,"abstract":"In this paper, the authorpsilas present one algorithm of algebraic PWM strategy for seven-level neutral point clamping (NPC) voltage source inverter (VSI) is presented. This algorithm uses a control model of the inverter developed previously by the authors. In the first part, we develop a working model of this inverter, without presumption on its control, by using the connection functions of this converter. In the second part the control models of this converter by using respectively instantaneous and generating connection functions are reviewed. In the last part, one algebraic PWM control strategy of the inverter is proposed. The obtained results are full of promise to use this digital strategy to control seven-level NPC VSI used in high voltage, high power applications as electrical traction.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133283242","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 : 2005-09-01DOI: 10.1109/DEMPED.2005.4662527
J. Sprooten, J. Gyselinck, J. Maun
In this paper an induction machine with a broken rotor bar is studied. The present study shows that the theorem of superposition can lead to acceptable representation of a faulty machine in the case of saturable iron and this, even though local saturation is greatly affected by the presence of the broken bar. Several cases, representing healthy and faulty machines, saturable as well as faulty machines with permeability frozen at the healthy condition, are considered. The results obtained by finite element computations and interpreted graphically using Faradaypsilas and Amperepsilas laws, show that if we neglect the change of saturation due to the presence of the broken bar, the superimposed effect of the broken bar is not only the creation of a pulsating field but also to phase shift the stator currents. However, if local saturation is allowed to change due to the presence of the broken bar, the phase shift of the stator currents is annihilated and the only effect introduced by the broken bar is to create a pulsating field as in linear machines. Based on this conclusion, an analytical model of a faulty machine is obtained using the principle of superposition. This approach has the advantage to decompose the machine in healthy and faulty models and therefore reduce computation time. The model is used for precise detection and quantification of broken bars at early stage of the fault.
{"title":"Local and global effect of a broken bar in induction machines using fundamental electromagnetic laws and finite element simulations","authors":"J. Sprooten, J. Gyselinck, J. Maun","doi":"10.1109/DEMPED.2005.4662527","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662527","url":null,"abstract":"In this paper an induction machine with a broken rotor bar is studied. The present study shows that the theorem of superposition can lead to acceptable representation of a faulty machine in the case of saturable iron and this, even though local saturation is greatly affected by the presence of the broken bar. Several cases, representing healthy and faulty machines, saturable as well as faulty machines with permeability frozen at the healthy condition, are considered. The results obtained by finite element computations and interpreted graphically using Faradaypsilas and Amperepsilas laws, show that if we neglect the change of saturation due to the presence of the broken bar, the superimposed effect of the broken bar is not only the creation of a pulsating field but also to phase shift the stator currents. However, if local saturation is allowed to change due to the presence of the broken bar, the phase shift of the stator currents is annihilated and the only effect introduced by the broken bar is to create a pulsating field as in linear machines. Based on this conclusion, an analytical model of a faulty machine is obtained using the principle of superposition. This approach has the advantage to decompose the machine in healthy and faulty models and therefore reduce computation time. The model is used for precise detection and quantification of broken bars at early stage of the fault.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398242","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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