Pub Date : 2005-09-01DOI: 10.1109/DEMPED.2005.4662511
S. Rajagopalan, J. Restrepo, J. Aller, T. Habetler, R. Harley
Electric motors often operate under operating conditions that are constantly changing with time. Most of such applications demand high reliability from the motor. Early detection of developing motor faults could help provide this needed reliability. While diagnostics of faults in motors operating under steady state conditions is straight forward due to the use of the well known Fourier transformation, diagnostics of motors operating under non-stationary conditions may need more sophisticated signal processing. In this paper, the Wigner-Ville family of time-frequency distributions is presented as an alternative to short time Fourier transforms (STFTs) and wavelets, for the diagnostics of rotor faults in a BLDC motor. Wigner-Ville distributions possess better frequency resolution than the STFT and wavelets. Several variants of the Wigner-Ville distributions are presented. The drawbacks of these distributions and methods to overcome them are also presented. Simulation and experimental results demonstrate that the Wigner-Ville distributions can be a viable tool to analyze rotor faults in BLDC motors operating under continuous non-stationarity.
{"title":"Wigner-Ville distributions for detection of rotor faults in brushless DC (BLDC) motors operating under non-stationary conditions","authors":"S. Rajagopalan, J. Restrepo, J. Aller, T. Habetler, R. Harley","doi":"10.1109/DEMPED.2005.4662511","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662511","url":null,"abstract":"Electric motors often operate under operating conditions that are constantly changing with time. Most of such applications demand high reliability from the motor. Early detection of developing motor faults could help provide this needed reliability. While diagnostics of faults in motors operating under steady state conditions is straight forward due to the use of the well known Fourier transformation, diagnostics of motors operating under non-stationary conditions may need more sophisticated signal processing. In this paper, the Wigner-Ville family of time-frequency distributions is presented as an alternative to short time Fourier transforms (STFTs) and wavelets, for the diagnostics of rotor faults in a BLDC motor. Wigner-Ville distributions possess better frequency resolution than the STFT and wavelets. Several variants of the Wigner-Ville distributions are presented. The drawbacks of these distributions and methods to overcome them are also presented. Simulation and experimental results demonstrate that the Wigner-Ville distributions can be a viable tool to analyze rotor faults in BLDC motors operating under continuous non-stationarity.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"66 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":"130304521","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.2005.4662501
S. Zouzou, A. Ghoggal, A. Aboubou, M. Sahraoui, H. Razik
A model permitting the simulation of induction machine with skewed rotor slot is presented. The model is based on the extension of the modified winding function approach, which allows for all harmonics of MMF to be taken into account. The effects of rotor skew which have not been able to be analyzed accurately by 2-D finite element technique were investigated. The model is used to predict the characteristics frequency components which are indicative of rotor bar faults. The results obtained showed the importance of the MWFA for the analysis of the induction motors.
{"title":"Modeling of induction machines with skewed rotor slots dedicated to rotor faults","authors":"S. Zouzou, A. Ghoggal, A. Aboubou, M. Sahraoui, H. Razik","doi":"10.1109/DEMPED.2005.4662501","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662501","url":null,"abstract":"A model permitting the simulation of induction machine with skewed rotor slot is presented. The model is based on the extension of the modified winding function approach, which allows for all harmonics of MMF to be taken into account. The effects of rotor skew which have not been able to be analyzed accurately by 2-D finite element technique were investigated. The model is used to predict the characteristics frequency components which are indicative of rotor bar faults. The results obtained showed the importance of the MWFA for the analysis of the induction motors.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"57 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":"130460913","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.2005.4662494
I. Jaksch, J. Bažant
Dynamic faults of induction machines cause modulation. The main frequencies of modulating signals are rotation frequency at dynamic eccentricity and slip pole frequency at broken rotor bars or frame. Demodulation methods increase resolution both in magnitude region and frequency region, facilitate and precise evaluation. The paper introduces the basics of envelope analysis and two demodulation methods using Hilbert transform and space transform and compares their results together and also to the professional envelope analysis. Dimensionless relative coefficients kr, ksp are introduced for expressing the severity of fault and for fault comparing at various motors. Powerful measuring system enables working of all 3 envelope analyzers in real time. Measurements were made for 2 poles and 4 poles asynchronous motors with various numbers of broken rotor bars and various rotor eccentricities under various motor loads. The aim is to verify the relationship between rotor faults and values of corresponding diagnostic symptoms and to find out the accuracy of diagnostic symptoms and possible variance of results. The values of relative coefficients kr, ksp are compared for various measurements and the possible borders for fault severity were set.
{"title":"Demodulation methods for exact induction motor rotor fault diagnostic","authors":"I. Jaksch, J. Bažant","doi":"10.1109/DEMPED.2005.4662494","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662494","url":null,"abstract":"Dynamic faults of induction machines cause modulation. The main frequencies of modulating signals are rotation frequency at dynamic eccentricity and slip pole frequency at broken rotor bars or frame. Demodulation methods increase resolution both in magnitude region and frequency region, facilitate and precise evaluation. The paper introduces the basics of envelope analysis and two demodulation methods using Hilbert transform and space transform and compares their results together and also to the professional envelope analysis. Dimensionless relative coefficients kr, ksp are introduced for expressing the severity of fault and for fault comparing at various motors. Powerful measuring system enables working of all 3 envelope analyzers in real time. Measurements were made for 2 poles and 4 poles asynchronous motors with various numbers of broken rotor bars and various rotor eccentricities under various motor loads. The aim is to verify the relationship between rotor faults and values of corresponding diagnostic symptoms and to find out the accuracy of diagnostic symptoms and possible variance of results. The values of relative coefficients kr, ksp are compared for various measurements and the possible borders for fault severity were set.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"80 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":"126332543","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.2005.4662525
K. Bacha, M. Gossa, H. Henao, G. Capolino
It is well known that induction machine stator current is a nonstationary signal and its properties change with respect to operating conditions. The computed spectrum using the fast Fourier transform (FFT) does not provide accurate time-domain information about the operating conditions. As a result, the FFT spectrum analysis makes difficult to recognize fault conditions from the normal operation of the induction machine. A time-frequency approach is proposed in order to track some frequency components associated to electrical and load faults. This method is applied to a 18.5 kW three-phase induction machine with three broken rotor bars and under the effect of load torque variation which can result from a load fault.
{"title":"A time-frequency method for multiple fault detection in three-phase induction machines","authors":"K. Bacha, M. Gossa, H. Henao, G. Capolino","doi":"10.1109/DEMPED.2005.4662525","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662525","url":null,"abstract":"It is well known that induction machine stator current is a nonstationary signal and its properties change with respect to operating conditions. The computed spectrum using the fast Fourier transform (FFT) does not provide accurate time-domain information about the operating conditions. As a result, the FFT spectrum analysis makes difficult to recognize fault conditions from the normal operation of the induction machine. A time-frequency approach is proposed in order to track some frequency components associated to electrical and load faults. This method is applied to a 18.5 kW three-phase induction machine with three broken rotor bars and under the effect of load torque variation which can result from a load fault.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"55 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":"121061147","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.2005.4662518
Xianghui Huang, T. Habetler, R. Harley
This paper focuses on the detection of rotor eccentricity faults in induction motors supplied by a vector-controlled drive. With the vector control, the motor and drive operate in a closed-loop fashion. Their behavior is coupled and their fault harmonics interact, which add significant challenges to fault detection above and beyond those faced by conventional line-connected machines. In this paper, the influence of drive controller and mechanical load on the fault detection is investigated, and a reliable detection scheme is proposed. In addition, a new direct time-stepping finite element model is introduced to incorporate the effects of magnetic nonlinearity into simulation. The simulation and experimental results are presented to validate the feasibility of the new detection method.
{"title":"Analysis, simulation, and experiments of rotor eccentricity in closed-loop drive-connected induction motors","authors":"Xianghui Huang, T. Habetler, R. Harley","doi":"10.1109/DEMPED.2005.4662518","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662518","url":null,"abstract":"This paper focuses on the detection of rotor eccentricity faults in induction motors supplied by a vector-controlled drive. With the vector control, the motor and drive operate in a closed-loop fashion. Their behavior is coupled and their fault harmonics interact, which add significant challenges to fault detection above and beyond those faced by conventional line-connected machines. In this paper, the influence of drive controller and mechanical load on the fault detection is investigated, and a reliable detection scheme is proposed. In addition, a new direct time-stepping finite element model is introduced to incorporate the effects of magnetic nonlinearity into simulation. The simulation and experimental results are presented to validate the feasibility of the new detection method.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"38 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":"115973999","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.2005.4662548
C. Bruzzese, O. Honorati, E. Santini
In this paper the rotor bar fault diagnosis problem for a particular induction motor (1.13 MW) employed in high speed-railway traction is considered, by getting realistic simulations of the electromechanical converter behaviour in specified working and feeding conditions. The use of a complete motor phase model and the implementation of the real GTO-inverter waveforms (three-pulses PWM modulation) allow accurate computation of the machine currents (both stator and rotor currents), and of the real mechanical internal stresses. The numerous data needed for model settings were obtained by F.E.M. and identification of the inductance parameters was performed starting from few measured values and some informations about internal machine structure. Some simulations are shown, and matched with measured waveforms. Bar breakages are easily recognized as produced by PWM-generated harmonic torques. The simulated stator phase currents are then analyzed by FFT in healthy and faulty rotor conditions. Finally, all the fault-related harmonic current components (sidebands) are found, and diagnostic criteria are evaluated and discussed. In a companion paper theoretical formulations were developed for frequency and amplitude sidebands prediction and calculation.
{"title":"Rotor bars breakage in railway traction squirrel cage induction motors and diagnosis by MCSA technique Part I : Accurate fault simulations and spectral analyses","authors":"C. Bruzzese, O. Honorati, E. Santini","doi":"10.1109/DEMPED.2005.4662548","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662548","url":null,"abstract":"In this paper the rotor bar fault diagnosis problem for a particular induction motor (1.13 MW) employed in high speed-railway traction is considered, by getting realistic simulations of the electromechanical converter behaviour in specified working and feeding conditions. The use of a complete motor phase model and the implementation of the real GTO-inverter waveforms (three-pulses PWM modulation) allow accurate computation of the machine currents (both stator and rotor currents), and of the real mechanical internal stresses. The numerous data needed for model settings were obtained by F.E.M. and identification of the inductance parameters was performed starting from few measured values and some informations about internal machine structure. Some simulations are shown, and matched with measured waveforms. Bar breakages are easily recognized as produced by PWM-generated harmonic torques. The simulated stator phase currents are then analyzed by FFT in healthy and faulty rotor conditions. Finally, all the fault-related harmonic current components (sidebands) are found, and diagnostic criteria are evaluated and discussed. In a companion paper theoretical formulations were developed for frequency and amplitude sidebands prediction and calculation.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"76 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":"128311308","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.2005.4662505
L. Swędrowski
The object of the investigation presented in the paper are measurements related to diagnostics of induction motors, especially damages caused to bearings. Due to the fact that the amplitude of the network voltage basic harmonic in the current spectrum is high in comparison with components responsible for damages of bearings, there has been proposed a preliminary elimination of this component from the analog current signal. The problem with interpretation of diagnostic measurements in present systems is difference between measurement results of characteristic frequencies and theoretical calculations. In the proposed measurement system this problem was solved in such a way that the value of the angular speed and of the supply frequency is calculated on the basis of appropriate components in the very same current spectrum that is further used in the search for diagnostic components. The paper presents also the measuring system and provides results of the investigations carried out on motor encumbered with specially prepared defect.
{"title":"Measuring system for analysis of motor supplying current for diagnostic purposes","authors":"L. Swędrowski","doi":"10.1109/DEMPED.2005.4662505","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662505","url":null,"abstract":"The object of the investigation presented in the paper are measurements related to diagnostics of induction motors, especially damages caused to bearings. Due to the fact that the amplitude of the network voltage basic harmonic in the current spectrum is high in comparison with components responsible for damages of bearings, there has been proposed a preliminary elimination of this component from the analog current signal. The problem with interpretation of diagnostic measurements in present systems is difference between measurement results of characteristic frequencies and theoretical calculations. In the proposed measurement system this problem was solved in such a way that the value of the angular speed and of the supply frequency is calculated on the basis of appropriate components in the very same current spectrum that is further used in the search for diagnostic components. The paper presents also the measuring system and provides results of the investigations carried out on motor encumbered with specially prepared defect.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"16 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":"127151403","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.2005.4662547
M. F. Cabanas, F. Pedrayes, M. gonzalez, M. Melero, C. Rojas, G. A. Orcajo, J. Cano, F. Nuño
Different techniques have been developed for the early detection of rotor asymmetries in squirrel cage asynchronous motors over the last two decades. Although their reliability and the amount of information they provide about the a machinepsilas state is indubitable, they still have a serious limitation: failure detection when the motor is driving a machine capable of producing oscillations in the load torque. In this case, the motor phase currents are modulated by torque oscillations and the information they contain about the integrity of bars and endrings is hidden or altered. In fact, it can be affirmed that almost all diagnosis methods based on spectral analysis of external electrical variables are affected by this phenomenon. In order to overcome this drawback, attempts have been made to find new procedures leading to new indicators to discriminate between the influence of the load and the rotor failure. Although certain complex systems applied to specific motors for on-line diagnosis have been successfully designed, as far as the authors know, no simple and reliable method exists for industrial diagnosis of rotor asymmetries in working cage motors under arbitrary load conditions. This paper describes a new diagnosis method and a new electronic instrument, based on the measurement of the magnetic flux linked by one stator tooth, which allows perfect, simple discrimination between the actual presence of rotor asymmetries and the spurious effects caused by the oscillations in the load torque of the driven machine.
{"title":"A new electronic instrument for the early detection of broken rotor bars in asynchronous motors working under arbitrary load conditions","authors":"M. F. Cabanas, F. Pedrayes, M. gonzalez, M. Melero, C. Rojas, G. A. Orcajo, J. Cano, F. Nuño","doi":"10.1109/DEMPED.2005.4662547","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662547","url":null,"abstract":"Different techniques have been developed for the early detection of rotor asymmetries in squirrel cage asynchronous motors over the last two decades. Although their reliability and the amount of information they provide about the a machinepsilas state is indubitable, they still have a serious limitation: failure detection when the motor is driving a machine capable of producing oscillations in the load torque. In this case, the motor phase currents are modulated by torque oscillations and the information they contain about the integrity of bars and endrings is hidden or altered. In fact, it can be affirmed that almost all diagnosis methods based on spectral analysis of external electrical variables are affected by this phenomenon. In order to overcome this drawback, attempts have been made to find new procedures leading to new indicators to discriminate between the influence of the load and the rotor failure. Although certain complex systems applied to specific motors for on-line diagnosis have been successfully designed, as far as the authors know, no simple and reliable method exists for industrial diagnosis of rotor asymmetries in working cage motors under arbitrary load conditions. This paper describes a new diagnosis method and a new electronic instrument, based on the measurement of the magnetic flux linked by one stator tooth, which allows perfect, simple discrimination between the actual presence of rotor asymmetries and the spurious effects caused by the oscillations in the load torque of the driven machine.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"24 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":"116600381","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.2005.4662496
M. Blodt, M. Chabert, J. Régnier, J. Faucher, B. Dagues
This paper examines the detection of mechanical load faults in induction motors during speed transients by stator current analysis. Mechanical load faults generally lead to load torque oscillations at specific frequencies. these frequencies are related to the mechanical rotor speed. The torque oscillations produce a characteristic sinusoidal phase modulation of the stator current. Speed transients result in time-varying supply frequencies that prevent the classical, Fourier transform based spectral estimation. This problem can be overcome using time-frequency signal analysis. The methods applied in this paper are instantaneous frequency estimation and the Wigner Distribution. Furthermore, an adaptive demodulation method is proposed. The theoretical considerations are validated on signals obtained from an experimental setup.
{"title":"Detection of mechanical load faults in induction motors at variable speed using stator current time-frequency analysis","authors":"M. Blodt, M. Chabert, J. Régnier, J. Faucher, B. Dagues","doi":"10.1109/DEMPED.2005.4662496","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662496","url":null,"abstract":"This paper examines the detection of mechanical load faults in induction motors during speed transients by stator current analysis. Mechanical load faults generally lead to load torque oscillations at specific frequencies. these frequencies are related to the mechanical rotor speed. The torque oscillations produce a characteristic sinusoidal phase modulation of the stator current. Speed transients result in time-varying supply frequencies that prevent the classical, Fourier transform based spectral estimation. This problem can be overcome using time-frequency signal analysis. The methods applied in this paper are instantaneous frequency estimation and the Wigner Distribution. Furthermore, an adaptive demodulation method is proposed. The theoretical considerations are validated on signals obtained from an experimental setup.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"64 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":"126433940","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.2005.4662508
Pierre Granjon
Stator frame radial vibrations of an induction motor are composed of the sum of three different components: aerodynamic, mechanical and electromagnetic vibrations. The separation of these components could be useful in order to quantify their respective vibratory influence. Moreover, each of these components carrying different physical informations, such a processing could be interesting to further analyze each component independently, and finally diagnose induction machine faults more easily. This paper deals with a new processing algorithm able to extract electro-magnetic vibrations of an induction motor from measured signals. To this end, a nonlinear quadratic optimal filter is used to estimate these vibratory components from stator currents and radial vibrations measured at one location on the stator frame. This algorithm is based on the physical quadratic link between stator currents and electromagnetic vibrations, which is first detailed. The algorithm used to estimate the optimal nonlinear quadratic filter is then determined and analyzed. Finally, the proposed algorithm is applied to real signals, and is shown to be very efficient, whatever frequency band.
{"title":"Electromagnetic vibrations estimation of an induction motor by nonlinear optimal filtering","authors":"Pierre Granjon","doi":"10.1109/DEMPED.2005.4662508","DOIUrl":"https://doi.org/10.1109/DEMPED.2005.4662508","url":null,"abstract":"Stator frame radial vibrations of an induction motor are composed of the sum of three different components: aerodynamic, mechanical and electromagnetic vibrations. The separation of these components could be useful in order to quantify their respective vibratory influence. Moreover, each of these components carrying different physical informations, such a processing could be interesting to further analyze each component independently, and finally diagnose induction machine faults more easily. This paper deals with a new processing algorithm able to extract electro-magnetic vibrations of an induction motor from measured signals. To this end, a nonlinear quadratic optimal filter is used to estimate these vibratory components from stator currents and radial vibrations measured at one location on the stator frame. This algorithm is based on the physical quadratic link between stator currents and electromagnetic vibrations, which is first detailed. The algorithm used to estimate the optimal nonlinear quadratic filter is then determined and analyzed. Finally, the proposed algorithm is applied to real signals, and is shown to be very efficient, whatever frequency band.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"86 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":"131076020","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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