Pub Date : 2005-09-01DOI: 10.1109/DEMPED.2005.4662509
T. Sobczyk, W. Maciołek
This paper shows that a well-known additional component in stator phase currents with frequency (1-2s)f0 can be insufficient for detection of the rotor cage faults. By case study of two broken bars at various relative positions it is proven that, this characteristic component in stator currents can disappear at chosen bars positions. However, in spite of this, the distribution of currents in cage bars has always nearly the same level of assymetry. Conclusion of this paper is that the component (1-2s)f0 should be monitored permanently for the healthy cage to detect the beginning of the cage destruction process.
{"title":"Does the component (1−2s)f0 in stator currents is sufficient for detection of rotor cage faults?","authors":"T. Sobczyk, W. Maciołek","doi":"10.1109/DEMPED.2005.4662509","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662509","url":null,"abstract":"This paper shows that a well-known additional component in stator phase currents with frequency (1-2s)f0 can be insufficient for detection of the rotor cage faults. By case study of two broken bars at various relative positions it is proven that, this characteristic component in stator currents can disappear at chosen bars positions. However, in spite of this, the distribution of currents in cage bars has always nearly the same level of assymetry. Conclusion of this paper is that the component (1-2s)f0 should be monitored permanently for the healthy cage to detect the beginning of the cage destruction process.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"179 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":"128167326","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.2005.4662514
C. Kral, H. Kapeller, J. Gragger, F. Pirker, G. Pascoli
Mechanical rotor imbalances and rotor eccentricities give rise to specific mechanical vibration, and certain electric, electromagnetic and mechanical harmonics. The extent and location of these harmonics depends on the actual severity of the imbalance, machine supply and load torque. Many fault detection techniques evaluate the spectral components of any of the mentioned electric or mechanical quantities. Such techniques are therefore usually only applicable for steady state operating conditions. To realize an imbalance detection technique working under transient conditions, load dependencies have to be taken into account. In this contribution a technique is used that employs a phase locked loop to track the imbalance-specific harmonics of the electrical power. This technique, therefore, overcomes the slip and load dependency of the imbalance-specific harmonics. The proposed imbalance detection technique is applied to measured data. Results for steady state and transient operating conditions are then compared.
{"title":"Detection of mechanical imbalances during transient torque operating conditions","authors":"C. Kral, H. Kapeller, J. Gragger, F. Pirker, G. Pascoli","doi":"10.1109/DEMPED.2005.4662514","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662514","url":null,"abstract":"Mechanical rotor imbalances and rotor eccentricities give rise to specific mechanical vibration, and certain electric, electromagnetic and mechanical harmonics. The extent and location of these harmonics depends on the actual severity of the imbalance, machine supply and load torque. Many fault detection techniques evaluate the spectral components of any of the mentioned electric or mechanical quantities. Such techniques are therefore usually only applicable for steady state operating conditions. To realize an imbalance detection technique working under transient conditions, load dependencies have to be taken into account. In this contribution a technique is used that employs a phase locked loop to track the imbalance-specific harmonics of the electrical power. This technique, therefore, overcomes the slip and load dependency of the imbalance-specific harmonics. The proposed imbalance detection technique is applied to measured data. Results for steady state and transient operating conditions are then compared.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"2 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":"121239678","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.2005.4662534
A. Bellini, G. Franceschini, C. Tassoni, O. Bottauscio, M. Chiampi
Diagnostic techniques for induction machines based on the motor current signature analysis monitor the increase of specific frequencies of the stator current spectrum, that are directly linked to anomalous conditions. The stator current spectrum includes several lines, that need to be accurately analyzed in order to achieve a reliable fault diagnosis. Several papers in the literature deal with the analysis of stator currents lines, while it is hard to retrieve information on rotor cage variables. In this paper a dedicated induction machine and experimental set-up developed at IEN is used, that allows the acquisition of instantaneous bar currents, through current sensors mounted on the rotor bars. Though artificial faults are not introduced in the machine, intrinsic non-idealities introduce harmonic distortion in the machine variables. Rotor instantaneous currents are computed by finite element approach and the results are compared with the experimental ones. Then the FFT algorithm is applied to scalar and complex variables and the results are analyzed with the help of the rotating field approach. Reference is made to synchronous operating conditions in order to address the rotor current components caused only by non-idealities.
{"title":"Test-bed system for improved induction machines diagnostics","authors":"A. Bellini, G. Franceschini, C. Tassoni, O. Bottauscio, M. Chiampi","doi":"10.1109/DEMPED.2005.4662534","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662534","url":null,"abstract":"Diagnostic techniques for induction machines based on the motor current signature analysis monitor the increase of specific frequencies of the stator current spectrum, that are directly linked to anomalous conditions. The stator current spectrum includes several lines, that need to be accurately analyzed in order to achieve a reliable fault diagnosis. Several papers in the literature deal with the analysis of stator currents lines, while it is hard to retrieve information on rotor cage variables. In this paper a dedicated induction machine and experimental set-up developed at IEN is used, that allows the acquisition of instantaneous bar currents, through current sensors mounted on the rotor bars. Though artificial faults are not introduced in the machine, intrinsic non-idealities introduce harmonic distortion in the machine variables. Rotor instantaneous currents are computed by finite element approach and the results are compared with the experimental ones. Then the FFT algorithm is applied to scalar and complex variables and the results are analyzed with the help of the rotating field approach. Reference is made to synchronous operating conditions in order to address the rotor current components caused only by non-idealities.","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":"115967961","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.2005.4662497
Alan Miletić, M. Cettolo
Induction motors are nowadays used more frequently than any other electric motor in various kinds of electric drives. Incipient fault diagnosis is very important because if the fault is undetected, small motor failure can lead to serious motor failure. Although several sophisticated fault detection methods can be found in literature and practice, the focus of this paper are two methods that could be used ldquoon-linerdquo in real-life situations, and can be performed in a short time. The experiments have been performed by analyzing the voltage in an external search coil, and the shaft voltage. In the case of the search coil voltage analysis, the tests were performed for six different search coil positions. The search coil voltage spectral analysis has also been performed. All tests were performed on 22 kW, 380 V, 1470 r/min induction motor, for the case of a healthy rotor and for the case of a rotor with different deliberately damaged rotor.
{"title":"Experimental research on rotor fault diagnosis using external coil voltage analysis and shaft voltage signal analysis","authors":"Alan Miletić, M. Cettolo","doi":"10.1109/DEMPED.2005.4662497","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662497","url":null,"abstract":"Induction motors are nowadays used more frequently than any other electric motor in various kinds of electric drives. Incipient fault diagnosis is very important because if the fault is undetected, small motor failure can lead to serious motor failure. Although several sophisticated fault detection methods can be found in literature and practice, the focus of this paper are two methods that could be used ldquoon-linerdquo in real-life situations, and can be performed in a short time. The experiments have been performed by analyzing the voltage in an external search coil, and the shaft voltage. In the case of the search coil voltage analysis, the tests were performed for six different search coil positions. The search coil voltage spectral analysis has also been performed. All tests were performed on 22 kW, 380 V, 1470 r/min induction motor, for the case of a healthy rotor and for the case of a rotor with different deliberately damaged rotor.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"30 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":"116631463","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.2005.4662495
T. Utsumi, I. Yamaguchi
Inter-turn short circuit fault between different windings is detected and located by parameter evaluation method under the on-line driving condition and dc measurement method under the off-line condition.
采用在线驱动工况下的参数评估法和离线工况下的直流测量法对不同绕组间的匝间短路故障进行检测和定位。
{"title":"Location of inter-turn short circuit in linear induction motor by dc measurement","authors":"T. Utsumi, I. Yamaguchi","doi":"10.1109/DEMPED.2005.4662495","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662495","url":null,"abstract":"Inter-turn short circuit fault between different windings is detected and located by parameter evaluation method under the on-line driving condition and dc measurement method under the off-line condition.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"167 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":"114951264","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.2005.4662537
T. Sobczyk, T. Węgiel, M. Sułowicz, A. Warzecha, K. Weinreb
In this paper, we present a concept of a diagnostic system, the so called ldquodistributed system for induction motors diagnosticsrdquo. developed at our university. A system, which will be installed in one of the Polish power plants. We propose a tele-diagnostics system (IDS) supporting diagnostic services (DS) located in a specialized diagnostic center (SDC). As for data transmission, the Internet and the Ethernet networks are used as inexpensive links, as it is more cost efficient to provide a remote the maintenance of the DS. In this context, a tele-measuring system (TMS) has been used and connected with a complex noninvasive diagnostic platform.
{"title":"A distributed system for diagnostics of induction motors","authors":"T. Sobczyk, T. Węgiel, M. Sułowicz, A. Warzecha, K. Weinreb","doi":"10.1109/DEMPED.2005.4662537","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662537","url":null,"abstract":"In this paper, we present a concept of a diagnostic system, the so called ldquodistributed system for induction motors diagnosticsrdquo. developed at our university. A system, which will be installed in one of the Polish power plants. We propose a tele-diagnostics system (IDS) supporting diagnostic services (DS) located in a specialized diagnostic center (SDC). As for data transmission, the Internet and the Ethernet networks are used as inexpensive links, as it is more cost efficient to provide a remote the maintenance of the DS. In this context, a tele-measuring system (TMS) has been used and connected with a complex noninvasive diagnostic platform.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"50 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":"130394873","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.2005.4662530
J. A. Antonino, M. Riera, J. Roger-Folch, M. P. Molina
In previous works, the authors proposed a novel method for the diagnosis of rotor bar failures in induction machines, based on the analysis of the startup stator current through the discrete wavelet transform (DWT). In those works the physical basis of the method was described and several verifications were done in order to confirm its validity. These verifications were satisfactory, but they were based on numerical simulations and on several tests that were developed using a laboratory machine, with certain particular constructive characteristics, different from those of the commercial motors. In the paper to be presented, the validity of the new diagnosis method is checked using a set of commercial induction motors. Several experiments are developed under different cases (healthy machine and machine with different levels of failure) and operating conditions (no load, full-load, pulsating load and fluctuating voltage). In each case, the results are compared with those obtained using the classical approach, based on the analysis of the steady-state current using the Fourier transform. Finally, the results are discussed and some considerations about the influence of the DWT parameters (type of mother wavelet, order of the mother wavelet, sampling rate or number of levels of the decomposition) over the diagnosis are done.
{"title":"Validation of a new method for the diagnosis of rotor bar failures via wavelet transformation in industrial induction machines","authors":"J. A. Antonino, M. Riera, J. Roger-Folch, M. P. Molina","doi":"10.1109/DEMPED.2005.4662530","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662530","url":null,"abstract":"In previous works, the authors proposed a novel method for the diagnosis of rotor bar failures in induction machines, based on the analysis of the startup stator current through the discrete wavelet transform (DWT). In those works the physical basis of the method was described and several verifications were done in order to confirm its validity. These verifications were satisfactory, but they were based on numerical simulations and on several tests that were developed using a laboratory machine, with certain particular constructive characteristics, different from those of the commercial motors. In the paper to be presented, the validity of the new diagnosis method is checked using a set of commercial induction motors. Several experiments are developed under different cases (healthy machine and machine with different levels of failure) and operating conditions (no load, full-load, pulsating load and fluctuating voltage). In each case, the results are compared with those obtained using the classical approach, based on the analysis of the steady-state current using the Fourier transform. Finally, the results are discussed and some considerations about the influence of the DWT parameters (type of mother wavelet, order of the mother wavelet, sampling rate or number of levels of the decomposition) over the diagnosis are done.","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":"130422128","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.2005.4662542
G. Aroquiadassou, H. Henao, S. H. Kia, G. Capolino
This paper proposes a method to analyze the speed ripple of a six-phase squirrel cage induction machine based on the non-stationary stator current characteristics. Some frequency components associated with the machine space harmonics are present in the stator current spectrum and depend on the rotor slip. The time evolution of these frequencies can be examined to evaluate the effect of torque ripple generated by the negative sequence components when one or several stator phases are lost. The information on the time evolution can be obtained using the spectrogram for time-frequency analysis or several consecutive simple fast Fourier transforms (FFT) as well. A six-phase squirrel-cage induction machine of 90 W, 20 V, 2-poles in normal operation and in faulted mode with two lost phases has been used to validate the proposed method.
{"title":"A spectral method of speed ripple analysis for a fault-tolerant six-phase squirrel-cage induction machine","authors":"G. Aroquiadassou, H. Henao, S. H. Kia, G. Capolino","doi":"10.1109/DEMPED.2005.4662542","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662542","url":null,"abstract":"This paper proposes a method to analyze the speed ripple of a six-phase squirrel cage induction machine based on the non-stationary stator current characteristics. Some frequency components associated with the machine space harmonics are present in the stator current spectrum and depend on the rotor slip. The time evolution of these frequencies can be examined to evaluate the effect of torque ripple generated by the negative sequence components when one or several stator phases are lost. The information on the time evolution can be obtained using the spectrogram for time-frequency analysis or several consecutive simple fast Fourier transforms (FFT) as well. A six-phase squirrel-cage induction machine of 90 W, 20 V, 2-poles in normal operation and in faulted mode with two lost phases has been used to validate the proposed method.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"19 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":"131244211","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.2005.4662520
G. Ujvari, G. Pascoli, C. Kral, C. Kollmitzer
This contribution proposes an algorithm for automated partial discharge (PD) pattern recognition for synchronous turbo generators. PD patterns indicate faults in the mica insulation of the stator windings of high voltage synchronous turbo generators. Usually these patterns can only be interpreted by experienced test engineers. The presented diagnostic routine is focused on insulation faults of turbo generators. It is possible to detect slot discharge, inner corona grading faults, outside corona grading faults, surface discharges in the end winding, sparks, and excitation signals, which are not stator faults yet, but appear in PD patterns. PD measuring instruments working with phase resolved partial discharge pattern diagnoses are delivering 3D-patterns and 2D-patterns. The 2D-patterns are evaluated by a diagnostic tool based on a Matlab toolbox. The known reference patterns represent typical shapes which are caused by typical stator faults. The diagnosis is based on the comparison of reference patterns with measurement results. The proposed algorithm is designed to interpret 2D-images quickly (less than 3 minutes on a 3 GHz personal computer) and with a high hit rate. Significant effort has been made to keep the number of reference patterns limited.
{"title":"Partial discharge pattern recognition algorithm for turbo generator monitoring","authors":"G. Ujvari, G. Pascoli, C. Kral, C. Kollmitzer","doi":"10.1109/DEMPED.2005.4662520","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662520","url":null,"abstract":"This contribution proposes an algorithm for automated partial discharge (PD) pattern recognition for synchronous turbo generators. PD patterns indicate faults in the mica insulation of the stator windings of high voltage synchronous turbo generators. Usually these patterns can only be interpreted by experienced test engineers. The presented diagnostic routine is focused on insulation faults of turbo generators. It is possible to detect slot discharge, inner corona grading faults, outside corona grading faults, surface discharges in the end winding, sparks, and excitation signals, which are not stator faults yet, but appear in PD patterns. PD measuring instruments working with phase resolved partial discharge pattern diagnoses are delivering 3D-patterns and 2D-patterns. The 2D-patterns are evaluated by a diagnostic tool based on a Matlab toolbox. The known reference patterns represent typical shapes which are caused by typical stator faults. The diagnosis is based on the comparison of reference patterns with measurement results. The proposed algorithm is designed to interpret 2D-images quickly (less than 3 minutes on a 3 GHz personal computer) and with a high hit rate. Significant effort has been made to keep the number of reference patterns limited.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"19 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":"121507983","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.2005.4662523
S. Saleh, M.A. Khan, M. Rahman
This paper presents a new technique for detecting and diagnosing various disturbances occurring in three-phase induction motors. The proposed technique is based on a wavelet-based multiresolution analysis (MRA), where samples of three-phase stator current are analyzed using wavelet-based MRA. Different disturbances have been created in both stator and rotor windings of a wound rotor induction motor. Stator currents data have been collected for processing using a wavelet-based MRA. The application of the wavelet packet transform has shown that all fault conditions have non-zero second level high frequency subband coefficients, while normal and starting currents have zero values for the same coefficients. This property can be used as a main diagnosis tool for induction machine protection.
{"title":"Application of a wavelet-based MRA for diagnosing disturbances in a three-phase induction motor","authors":"S. Saleh, M.A. Khan, M. Rahman","doi":"10.1109/DEMPED.2005.4662523","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662523","url":null,"abstract":"This paper presents a new technique for detecting and diagnosing various disturbances occurring in three-phase induction motors. The proposed technique is based on a wavelet-based multiresolution analysis (MRA), where samples of three-phase stator current are analyzed using wavelet-based MRA. Different disturbances have been created in both stator and rotor windings of a wound rotor induction motor. Stator currents data have been collected for processing using a wavelet-based MRA. The application of the wavelet packet transform has shown that all fault conditions have non-zero second level high frequency subband coefficients, while normal and starting currents have zero values for the same coefficients. This property can be used as a main diagnosis tool for induction machine protection.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"10 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":"123835411","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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