Pub Date : 2009-10-23DOI: 10.1109/DEMPED.2009.5292797
M. Khov, J. Régnier, J. Faucher
This paper presents a method for monitoring of turn short-circuits faults of permanent magnet synchronous motor (PMSM) with non sinusoidal electromotive force (emf) in closed loop conditions. The proposed method is formulated by combining multi-model approach in Extended Park frame and the recursive least squares algorithm (RLS). The fault and its severity are indicated by the surface of structure distance between the Extended Park model and PMSM.
{"title":"Monitoring of turn short-circuit faults in stator of PMSM in closed loop by on-line parameter estimation","authors":"M. Khov, J. Régnier, J. Faucher","doi":"10.1109/DEMPED.2009.5292797","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292797","url":null,"abstract":"This paper presents a method for monitoring of turn short-circuits faults of permanent magnet synchronous motor (PMSM) with non sinusoidal electromotive force (emf) in closed loop conditions. The proposed method is formulated by combining multi-model approach in Extended Park frame and the recursive least squares algorithm (RLS). The fault and its severity are indicated by the surface of structure distance between the Extended Park model and PMSM.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130539268","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292794
A. Mahamad, T. Hiyama
A bearing is an important component in any rotating machinery especially in induction motors. Thus, timely detection and diagnosis of induction motor bearing (1MB) is crucial to prevent sudden damages. This paper proposes a method to utilize artificial neural network (ANN) by using genetic algorithm (GA) to identify 1MB fault diagnosis. In this case, GA is utilized to find the optimum weights and biases for Elman Network (EN), which is one of ANN families. The vibration signal used in this work is obtained from Case Western Reserve University website. During preprocessing stage, vibration signals are been converted from time domain into frequency domain through Fast Fourier Transform (FFT). Then, enveloping method is used to eliminate the high frequency components from vibration signal. Subsequently, a set of 16 features from vibration and preprocessed signal are extracted. In order to reduce the size of data, a distance evaluation technique is used as features selection. In the development of ANN fault diagnosis, both networks EN (without GA) and GAEN (utilized with GA) in which results are compared and conclusions are drawn.
{"title":"Improving Elman Network using genetic algorithm for bearing failure diagnosis of induction motor","authors":"A. Mahamad, T. Hiyama","doi":"10.1109/DEMPED.2009.5292794","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292794","url":null,"abstract":"A bearing is an important component in any rotating machinery especially in induction motors. Thus, timely detection and diagnosis of induction motor bearing (1MB) is crucial to prevent sudden damages. This paper proposes a method to utilize artificial neural network (ANN) by using genetic algorithm (GA) to identify 1MB fault diagnosis. In this case, GA is utilized to find the optimum weights and biases for Elman Network (EN), which is one of ANN families. The vibration signal used in this work is obtained from Case Western Reserve University website. During preprocessing stage, vibration signals are been converted from time domain into frequency domain through Fast Fourier Transform (FFT). Then, enveloping method is used to eliminate the high frequency components from vibration signal. Subsequently, a set of 16 features from vibration and preprocessed signal are extracted. In order to reduce the size of data, a distance evaluation technique is used as features selection. In the development of ANN fault diagnosis, both networks EN (without GA) and GAEN (utilized with GA) in which results are compared and conclusions are drawn.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124805456","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292774
P. M. de la Barrera, Guillermo R. Bossio, G. García, J. Solsona
A novel on-line stator core fault diagnosis method for Induction Motors (IM) is proposed. This approach is based on an adaptive state observer; it is derived from the IM dynamic model considering stator iron losses. In this model the iron losses are represented by an equivalent iron loss resistance (RFe). Stator core fault causes important variations on iron losses and these variations are reflected on the RFe. Therefore the proposed adaptive state observer estimates RFe with the objective of diagnosing stator core fault. Simulation and experimental results for different fault severity conditions are showed. These results demonstrated the validity of the method. In addition, simulation results proved that the proposal is not sensitive to load torque variations.
{"title":"Stator core fault diagnosis for induction motors based on parameters adaptation","authors":"P. M. de la Barrera, Guillermo R. Bossio, G. García, J. Solsona","doi":"10.1109/DEMPED.2009.5292774","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292774","url":null,"abstract":"A novel on-line stator core fault diagnosis method for Induction Motors (IM) is proposed. This approach is based on an adaptive state observer; it is derived from the IM dynamic model considering stator iron losses. In this model the iron losses are represented by an equivalent iron loss resistance (RFe). Stator core fault causes important variations on iron losses and these variations are reflected on the RFe. Therefore the proposed adaptive state observer estimates RFe with the objective of diagnosing stator core fault. Simulation and experimental results for different fault severity conditions are showed. These results demonstrated the validity of the method. In addition, simulation results proved that the proposal is not sensitive to load torque variations.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127906003","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292758
H. Yahoui, S. Mylvaganam
This paper focuses on finding possible means of identifying winding defects by looking for special features in the Fourier transform of hysteresis signature of the earth current. The effect of the magnetic characteristics of the iron material on the dynamic behaviour of the system will be taken into account. The method is based on simulations of the dynamic magnetic behaviour of the magnetic material. For this purpose, a model of the three phase transformer will be used as an example. Experimental study of the magnetic material will be performed to characterise its dynamic behaviour. The results from the experiments are used in the simulation of the hysteresis phenomena. Using these data, harmonics due to saturation and hysteresis could be quantified and their sensitivities to defects could be analysed, thus paving the way to a soft sensor approach in identifying methods and routines for detecting winding defects.
{"title":"Modelling and characterisation of hysteresis phenomena in three phase power systems for diagnostic purposes","authors":"H. Yahoui, S. Mylvaganam","doi":"10.1109/DEMPED.2009.5292758","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292758","url":null,"abstract":"This paper focuses on finding possible means of identifying winding defects by looking for special features in the Fourier transform of hysteresis signature of the earth current. The effect of the magnetic characteristics of the iron material on the dynamic behaviour of the system will be taken into account. The method is based on simulations of the dynamic magnetic behaviour of the magnetic material. For this purpose, a model of the three phase transformer will be used as an example. Experimental study of the magnetic material will be performed to characterise its dynamic behaviour. The results from the experiments are used in the simulation of the hysteresis phenomena. Using these data, harmonics due to saturation and hysteresis could be quantified and their sensitivities to defects could be analysed, thus paving the way to a soft sensor approach in identifying methods and routines for detecting winding defects.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115559326","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292751
H. Henao, S. R. Rastegar Fatemi, S. Sieg-Zieba, G. Capolino
The aim of this paper is to analyze theoretically and experimentally the stator current of a three phase induction machine and load torque signals in a hoisting winch system, in order to show how they are influenced by the wire rope faulty condition. When the wire rope is subjected to axial and torsional loads, the outer strands can separate from the core in permanent way and make the rope useless. The term birdcaging is used to describe this type of phenomenon giving a permanent appearance of a wire rope forced into compression. In a hoisting winch system the running rope is bent over drum and pulley and it is torsionally stressed by the fleet angle between them. In this paper, the effect of the fleet angle is observed in the stator current and load torque, in order to detect the wire rope birdcaging. This study is performed on a 22kW squirrel-cage induction machine and presents an original non invasive way to detect wire rope fault condition, by using the stator current of the electrical machine.
{"title":"Detection of birdcaging in steel wire rope of a hoisting winch system by analysis of load torque and stator current","authors":"H. Henao, S. R. Rastegar Fatemi, S. Sieg-Zieba, G. Capolino","doi":"10.1109/DEMPED.2009.5292751","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292751","url":null,"abstract":"The aim of this paper is to analyze theoretically and experimentally the stator current of a three phase induction machine and load torque signals in a hoisting winch system, in order to show how they are influenced by the wire rope faulty condition. When the wire rope is subjected to axial and torsional loads, the outer strands can separate from the core in permanent way and make the rope useless. The term birdcaging is used to describe this type of phenomenon giving a permanent appearance of a wire rope forced into compression. In a hoisting winch system the running rope is bent over drum and pulley and it is torsionally stressed by the fleet angle between them. In this paper, the effect of the fleet angle is observed in the stator current and load torque, in order to detect the wire rope birdcaging. This study is performed on a 22kW squirrel-cage induction machine and presents an original non invasive way to detect wire rope fault condition, by using the stator current of the electrical machine.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115792198","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292805
T. Sobczyk, W. Maciołek
This paper discusses a problem of modeling induction machines when some faults appear in a cage by using a model reduced to four equations. Starting from an advance mathematical model with full representation of a cage and considering arbitrary cage faults the steady-state equations are developed. Those equations are reduced to four equations using symmetrical components of stator and rotor quantities. Base on it, dynamic reduced models of induction motors with cage asymmetry are suggested. Numerical tests show when such simplified modes can be used for correct prediction of basic phenomena in stator currents to cage faults.
{"title":"On reduced models of induction motors with faulty cage","authors":"T. Sobczyk, W. Maciołek","doi":"10.1109/DEMPED.2009.5292805","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292805","url":null,"abstract":"This paper discusses a problem of modeling induction machines when some faults appear in a cage by using a model reduced to four equations. Starting from an advance mathematical model with full representation of a cage and considering arbitrary cage faults the steady-state equations are developed. Those equations are reduced to four equations using symmetrical components of stator and rotor quantities. Base on it, dynamic reduced models of induction motors with cage asymmetry are suggested. Numerical tests show when such simplified modes can be used for correct prediction of basic phenomena in stator currents to cage faults.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103743","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292783
Z. Gao, R. S. Colby, L. Turner, B. Leprettre
Periodically time-varying loads such as reciprocating compressors produce torque and speed variations in grid-connected induction motors that are used to drive them. In each compression cycle, the torque and speed variations manifest themselves through periodic pulsations in induction motor's complex current vectors. Based on the concept of narrowband angle modulations, this paper analyzes the complex current vector's behavior in a typical motor-compressor system. Carson's rule is introduced to establish an empirical relationship between the complex current vector's bandwidth and the modulating frequency induced by the compressor. By reconstructing complex current vectors from raw experimental data through application of digital filters with different bandwidths, narrowband angle modulations and Carson's rule are experimentally validated.
{"title":"Narrowband angle modulations in induction motor complex current vectors","authors":"Z. Gao, R. S. Colby, L. Turner, B. Leprettre","doi":"10.1109/DEMPED.2009.5292783","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292783","url":null,"abstract":"Periodically time-varying loads such as reciprocating compressors produce torque and speed variations in grid-connected induction motors that are used to drive them. In each compression cycle, the torque and speed variations manifest themselves through periodic pulsations in induction motor's complex current vectors. Based on the concept of narrowband angle modulations, this paper analyzes the complex current vector's behavior in a typical motor-compressor system. Carson's rule is introduced to establish an empirical relationship between the complex current vector's bandwidth and the modulating frequency induced by the compressor. By reconstructing complex current vectors from raw experimental data through application of digital filters with different bandwidths, narrowband angle modulations and Carson's rule are experimentally validated.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114555881","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292782
T. Wolbank, P. Nussbaumer, Hao Chen, P. Macheiner
Rotor cage fault detection in inverter fed induction machines is still challenging nowadays as dynamics introduced by the control or the load influence the fault indicator signals usually applied. In addition, the detection is usually only possible when the machine is operated above a specific load level to generate a significant rotor current magnitude. This paper proposes a new method to detect rotor bar defects at zero load and around standstill. The method only uses the standard current sensors already available in modern industrial inverters and is thus non-invasive. It is thus well suited as start-up test for drives. By applying a transient voltage pulse sequence using the switching of the inverter and measuring the resulting current slope a new fault indicator is obtained. As a result, it is possible to clearly identify the fault-induced asymmetry in the machine transient reactances. Though the transient flux linkage cannot penetrate the rotor because of the cage, the faulty bar locally influences the zigzag flux leading to a significant change. Measurement results show the applicability and sensitivity of the proposed method
{"title":"Non-invasive detection of rotor cage faults in inverter fed induction machines at no load and low speed","authors":"T. Wolbank, P. Nussbaumer, Hao Chen, P. Macheiner","doi":"10.1109/DEMPED.2009.5292782","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292782","url":null,"abstract":"Rotor cage fault detection in inverter fed induction machines is still challenging nowadays as dynamics introduced by the control or the load influence the fault indicator signals usually applied. In addition, the detection is usually only possible when the machine is operated above a specific load level to generate a significant rotor current magnitude. This paper proposes a new method to detect rotor bar defects at zero load and around standstill. The method only uses the standard current sensors already available in modern industrial inverters and is thus non-invasive. It is thus well suited as start-up test for drives. By applying a transient voltage pulse sequence using the switching of the inverter and measuring the resulting current slope a new fault indicator is obtained. As a result, it is possible to clearly identify the fault-induced asymmetry in the machine transient reactances. Though the transient flux linkage cannot penetrate the rotor because of the cage, the faulty bar locally influences the zigzag flux leading to a significant change. Measurement results show the applicability and sensitivity of the proposed method","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801600","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292756
M. F. Cabanas, M. Melero, C. Rojas, G. A. Orcajo, J. Cano, F. P. González, J. G. Norniella, S. Rozada
Power transformers figure amongst the most costly pieces of equipment used in electrical systems. Major research effort has therefore focused on detecting failures of their insulating systems prior to unexpected machine outage. Although several industrial methods exist for the on-line and off-line monitoring of power transformers, all of them are expensive and complex, and require the use of specific electronic instrumentation. For these reasons, this paper will present on-line analysis of transformer leakage flux as an efficient alternative procedure for assessing machine integrity and detecting the presence of insulating failures during their earliest stages. A 12kVA 400V/400V power transformer was specifically manufactured for the study. A finite element model of the machine was designed to obtain the transient distribution of leakage flux lines in the machine's transversal section under normal operating conditions and when shorted turns are intentionally produced. Very cheap, simple sensors, based on air core coils, were built in order to measure the leakage flux of the transformer, and non-destructive tests were also applied to the machine in order to analyse pre- and post-failure voltages induced in the coils. Results point to the ability to detect very early stages of failure, as well as of locating the position of the shorted turn in the transformer windings.
{"title":"Detection of insulation faults on disc-type winding transformers by means of leakage flux analysis","authors":"M. F. Cabanas, M. Melero, C. Rojas, G. A. Orcajo, J. Cano, F. P. González, J. G. Norniella, S. Rozada","doi":"10.1109/DEMPED.2009.5292756","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292756","url":null,"abstract":"Power transformers figure amongst the most costly pieces of equipment used in electrical systems. Major research effort has therefore focused on detecting failures of their insulating systems prior to unexpected machine outage. Although several industrial methods exist for the on-line and off-line monitoring of power transformers, all of them are expensive and complex, and require the use of specific electronic instrumentation. For these reasons, this paper will present on-line analysis of transformer leakage flux as an efficient alternative procedure for assessing machine integrity and detecting the presence of insulating failures during their earliest stages. A 12kVA 400V/400V power transformer was specifically manufactured for the study. A finite element model of the machine was designed to obtain the transient distribution of leakage flux lines in the machine's transversal section under normal operating conditions and when shorted turns are intentionally produced. Very cheap, simple sensors, based on air core coils, were built in order to measure the leakage flux of the transformer, and non-destructive tests were also applied to the machine in order to analyse pre- and post-failure voltages induced in the coils. Results point to the ability to detect very early stages of failure, as well as of locating the position of the shorted turn in the transformer windings.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413732","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292793
S. Nandi, T. Ilamparithi, S.B. Lee, D. Hyun
Eccentricity related faults in Induction motors have been studied extensively over the last few decades. They can exist in the form of static or dynamic eccentricity or both, in which case it is called a mixed eccentricity fault. These faults cause bearing damage, excessive vibration and noise, unbalanced magnetic pull (IMP) and under extreme conditions stator-rotor rub which may seriously damage the motors. Since eccentricity faults are often associated with large induction machines, the repair or replacement costs arising out of such a scenario may easily run into tens and thousands of dollars. Previous research have shown that it is extremely difficult to detect such faults if they appear individually, rather than in mixed form, unless the number of rotor bars and pole pair number conform to certain relationships. In this paper, it is shown that the terminal voltages of induction machines at switch-off reveal certain features that can lead to the detection of these faults in individual form, even in machines that do not show these signatures in line current spectrum in steady state.
{"title":"Pole pair and rotor slot number independent frequency domain based detection of eccentricity faults in induction machines using a semi on-line technique","authors":"S. Nandi, T. Ilamparithi, S.B. Lee, D. Hyun","doi":"10.1109/DEMPED.2009.5292793","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292793","url":null,"abstract":"Eccentricity related faults in Induction motors have been studied extensively over the last few decades. They can exist in the form of static or dynamic eccentricity or both, in which case it is called a mixed eccentricity fault. These faults cause bearing damage, excessive vibration and noise, unbalanced magnetic pull (IMP) and under extreme conditions stator-rotor rub which may seriously damage the motors. Since eccentricity faults are often associated with large induction machines, the repair or replacement costs arising out of such a scenario may easily run into tens and thousands of dollars. Previous research have shown that it is extremely difficult to detect such faults if they appear individually, rather than in mixed form, unless the number of rotor bars and pole pair number conform to certain relationships. In this paper, it is shown that the terminal voltages of induction machines at switch-off reveal certain features that can lead to the detection of these faults in individual form, even in machines that do not show these signatures in line current spectrum in steady state.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125099600","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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