Pub Date : 2009-10-23DOI: 10.1109/DEMPED.2009.5292787
R. Puche-Panadero, J. Pons-Llinares, J. Roger-Folch, M. Pineda-Sánchez
The Hilbert Transform (HT) can improve the resolution of motor current signature analysis (MCSA), especially at very low slip, because it converts the supply frequency into a continuous component, which can be easily removed to better detect fault harmonics. This paper proposes its application also during speed transients, with two key advantages: first, it allows an easy filtering of the transient current component corresponding to the supply frequency, and, second, the HT allows for the generation of the Hilbert Spectrum, as a replacement of the Fourier Spectrum in the case of non-stationary signals, like those that appear in a transient regime. The performance of the proposed method is compared with other methods as the Discrete Wavelet Transform (DWT), and is validated through simulation with a mathematical model and experimental analysis of a 1.1 kW three-phase squirrel-cage commercial induction motor with eccentricity.
{"title":"Diagnosis of eccentricity based on the Hilbert transform of the startup transient current","authors":"R. Puche-Panadero, J. Pons-Llinares, J. Roger-Folch, M. Pineda-Sánchez","doi":"10.1109/DEMPED.2009.5292787","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292787","url":null,"abstract":"The Hilbert Transform (HT) can improve the resolution of motor current signature analysis (MCSA), especially at very low slip, because it converts the supply frequency into a continuous component, which can be easily removed to better detect fault harmonics. This paper proposes its application also during speed transients, with two key advantages: first, it allows an easy filtering of the transient current component corresponding to the supply frequency, and, second, the HT allows for the generation of the Hilbert Spectrum, as a replacement of the Fourier Spectrum in the case of non-stationary signals, like those that appear in a transient regime. The performance of the proposed method is compared with other methods as the Discrete Wavelet Transform (DWT), and is validated through simulation with a mathematical model and experimental analysis of a 1.1 kW three-phase squirrel-cage commercial induction motor with eccentricity.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"72 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":"115617884","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.2009.5292796
Siwei Cheng, T. Habetler
Multiple motors connected to a single closed-loop inverter drive is a common type of drive topology which has wide application in steel processing industry, electric railway systems and electric vehicles. But condition monitoring for this type of drive configuration remains largely unexplored. This paper proposes a new method to detect the stator turn-to-turn fault in a multiple-motor drive system. The method achieves very high detecting sensitivity yet remains easy to implement by utilizing the characteristics of current regulators in the motor controller. Experimental results show that the method can reliably detect a short circuit of 1 turn out of 216 turns per phase on two 5-hp, shaft-coupled induction machines. Although originally developed for multiple-motor drives, the detection scheme can be directly applied to most of normal closed-loop induction motor drive.
{"title":"A new method to detect stator turn-to-turn faults in a closed-loop multiple-motor drive system","authors":"Siwei Cheng, T. Habetler","doi":"10.1109/DEMPED.2009.5292796","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292796","url":null,"abstract":"Multiple motors connected to a single closed-loop inverter drive is a common type of drive topology which has wide application in steel processing industry, electric railway systems and electric vehicles. But condition monitoring for this type of drive configuration remains largely unexplored. This paper proposes a new method to detect the stator turn-to-turn fault in a multiple-motor drive system. The method achieves very high detecting sensitivity yet remains easy to implement by utilizing the characteristics of current regulators in the motor controller. Experimental results show that the method can reliably detect a short circuit of 1 turn out of 216 turns per phase on two 5-hp, shaft-coupled induction machines. Although originally developed for multiple-motor drives, the detection scheme can be directly applied to most of normal closed-loop induction motor drive.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"1 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":"125533932","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.2009.5292767
A. Bitoleanu, M. Popescu, M. Piciu
The low cost and high reliability of controlled induction motor drives without mechanical speed sensors made them to become more and more attractive. The information on the rotor speed is obtained from measured stator voltages and currents at the motor terminals with replace the sensor (mechanical sensor). Vector controlled drives require estimating the magnitude and spatial orientation of the fundamental magnetic flux waves in the stator or in the rotor. Open loop estimators are used for this purpose. Therefore, this paper is focused on the models of estimators of speed and flux useful in sensorless electrical drive systems. A speed estimator controlled by the stator voltage is proposed. The dynamical behavior of the system was analyzed by simulations performed using the Matlab/Simulink environment. Several experimental results are given in order to point out the proper operation of the estimators and the control strategy.
{"title":"Open loop estimation models used in electrical drives systems","authors":"A. Bitoleanu, M. Popescu, M. Piciu","doi":"10.1109/DEMPED.2009.5292767","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292767","url":null,"abstract":"The low cost and high reliability of controlled induction motor drives without mechanical speed sensors made them to become more and more attractive. The information on the rotor speed is obtained from measured stator voltages and currents at the motor terminals with replace the sensor (mechanical sensor). Vector controlled drives require estimating the magnitude and spatial orientation of the fundamental magnetic flux waves in the stator or in the rotor. Open loop estimators are used for this purpose. Therefore, this paper is focused on the models of estimators of speed and flux useful in sensorless electrical drive systems. A speed estimator controlled by the stator voltage is proposed. The dynamical behavior of the system was analyzed by simulations performed using the Matlab/Simulink environment. Several experimental results are given in order to point out the proper operation of the estimators and the control strategy.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"20 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":"130356339","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.2009.5292778
S. S. H. Zaidi, Selin Aviyente, M. Salman, Kwang-Kuen Shin, E. Strangas
This paper deals with the prognosis of gear faults in DC machines using time frequency distribution methods. The proposed method presents future state prediction of the machine faults using Hidden Markov models. Different methods for estimating the parameters of hidden Markov model with limited data are discussed. The proposed method uses Matching Pursuit decomposition and projections of the training data on linear discriminant planes for estimation of model parameters. Experimental results are presented to illustrate the method.
{"title":"Failure prognosis of DC starter motors using hidden Markov models","authors":"S. S. H. Zaidi, Selin Aviyente, M. Salman, Kwang-Kuen Shin, E. Strangas","doi":"10.1109/DEMPED.2009.5292778","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292778","url":null,"abstract":"This paper deals with the prognosis of gear faults in DC machines using time frequency distribution methods. The proposed method presents future state prediction of the machine faults using Hidden Markov models. Different methods for estimating the parameters of hidden Markov model with limited data are discussed. The proposed method uses Matching Pursuit decomposition and projections of the training data on linear discriminant planes for estimation of model parameters. Experimental results are presented to illustrate the method.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"1 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":"116266898","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.2009.5292755
V. Atamuradov, F. Camci, S. Baskan, M. Sevkli
Maintenance is an inevitable reality in industry. Maintenance of a system usually involves maintenance of multiple components with multiple failure modes, each of which may require different maintenance policy (i.e., corrective (CM), preventive (PM), or condition based maintenance (CBM)). A maintenance policy may be best for one component and the worst for the other (CM may be best for a very cheap and non-critical component and the worst for a critical one). This paper presents an economical analysis method that identifies the best maintenance policy for a failure mode and/or component of a system.
{"title":"Failure diagnostics for railway point machines using expert systems","authors":"V. Atamuradov, F. Camci, S. Baskan, M. Sevkli","doi":"10.1109/DEMPED.2009.5292755","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292755","url":null,"abstract":"Maintenance is an inevitable reality in industry. Maintenance of a system usually involves maintenance of multiple components with multiple failure modes, each of which may require different maintenance policy (i.e., corrective (CM), preventive (PM), or condition based maintenance (CBM)). A maintenance policy may be best for one component and the worst for the other (CM may be best for a very cheap and non-critical component and the worst for a critical one). This paper presents an economical analysis method that identifies the best maintenance policy for a failure mode and/or component of a system.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"166 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":"129988823","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.2009.5292780
A. Rossi, F. Immovilli, C. Bianchini, A. Bellini, G. Serra
Energy generation and its optimal use are key issues nowadays. In this framework the use of cogeneration (CHP) or trigeneration (CHCP) is an attractive solution towards higher system efficiency. Traditional thermal machines are used as a prime mover in a CHP/CHCP plant. Recently novel technologies were investigated for prime mover and cooler. Among them thermoacoustics is attractive as it allows to embed a prime mover, a cooler and an alternator in a single machine. Moreover, it features reduced maintenance cost as it requires no moving parts but the electric alternator. The design of an efficient electric alternator is one of the major challenge, as it must convert into electricity a small linear displacement of the mover at high frequency. The latter is a critical item in terms of diagnostics also. Here the fault diagnosis of a thermoacoustic generator is investigated, where the major defects are ageing or fatigue of the spring used to center and sustain the mover of electric generator. The fault diagnosis is based on the non invasive analysis of electric signals at the generator terminal. The paper also deals with post fault strategies.
{"title":"Fault diagnosis of linear electric generators for thermoacoustic machines","authors":"A. Rossi, F. Immovilli, C. Bianchini, A. Bellini, G. Serra","doi":"10.1109/DEMPED.2009.5292780","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292780","url":null,"abstract":"Energy generation and its optimal use are key issues nowadays. In this framework the use of cogeneration (CHP) or trigeneration (CHCP) is an attractive solution towards higher system efficiency. Traditional thermal machines are used as a prime mover in a CHP/CHCP plant. Recently novel technologies were investigated for prime mover and cooler. Among them thermoacoustics is attractive as it allows to embed a prime mover, a cooler and an alternator in a single machine. Moreover, it features reduced maintenance cost as it requires no moving parts but the electric alternator. The design of an efficient electric alternator is one of the major challenge, as it must convert into electricity a small linear displacement of the mover at high frequency. The latter is a critical item in terms of diagnostics also. Here the fault diagnosis of a thermoacoustic generator is investigated, where the major defects are ageing or fatigue of the spring used to center and sustain the mover of electric generator. The fault diagnosis is based on the non invasive analysis of electric signals at the generator terminal. The paper also deals with post fault strategies.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"12 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":"130952168","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.2009.5292750
S. H. Kia, H. Henao, G. Capolino
The diagnosis of mechanical anomalies in railway traction system (RTS) have significant importance on traction system safety and reliability, which can avoid train derailment. This paper deals with torsional vibration assessment in mechanical transmission of RTS by a non-invasive technique. The previous studies on an elementary gearbox-based electromechanical system have shown that the influence of gearbox torsional vibration in torque and stator current signatures. It will be demonstrated here that in RTS the traction motor can be considered as a torque sensor through electromagnetic torque estimation for torsional vibration monitoring without any extra mechanical sensor. The results of estimation are compared with the measured mechanical torque and validated through a reduced-scale RTS simulator in stationary and non-stationary conditions.
{"title":"Torsional vibration assessment in railway traction system mechanical transmission","authors":"S. H. Kia, H. Henao, G. Capolino","doi":"10.1109/DEMPED.2009.5292750","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292750","url":null,"abstract":"The diagnosis of mechanical anomalies in railway traction system (RTS) have significant importance on traction system safety and reliability, which can avoid train derailment. This paper deals with torsional vibration assessment in mechanical transmission of RTS by a non-invasive technique. The previous studies on an elementary gearbox-based electromechanical system have shown that the influence of gearbox torsional vibration in torque and stator current signatures. It will be demonstrated here that in RTS the traction motor can be considered as a torque sensor through electromagnetic torque estimation for torsional vibration monitoring without any extra mechanical sensor. The results of estimation are compared with the measured mechanical torque and validated through a reduced-scale RTS simulator in stationary and non-stationary conditions.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"195 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":"121741847","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.2009.5292801
T. Sobczyk, M. Radzik
Paper presents an iterative algorithm for direct determination of current spectra at a steady state of synchronous motors when some perturbations occur in a mechanical load torque. In such cases electromagnetic and mechanic phenomena are strongly related, what is reflected by disturbances in the angular velocity and in all motor currents. Non-linear character of equations describing such performances leads to essential difficulties of finding the steady-state solutions directly. The algorithm is presented by a case study of a synchronous motor loaded by a torque with an alternating component. It is assumed that in steady-state, a synchronous motor runs synchronously but periodic perturbations in the angular velocity appear. For such performance the steady-state is found by the harmonic balance method. The paper shows how to formulate the algorithm and presents the properties of measurable motor currents. It is just a first step in the study of disturbances of stator currents due to same faults in a mechanical part of a drive with synchronous motors.
{"title":"Direct determination of currents spectra of synchronous machines at load perturbations","authors":"T. Sobczyk, M. Radzik","doi":"10.1109/DEMPED.2009.5292801","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292801","url":null,"abstract":"Paper presents an iterative algorithm for direct determination of current spectra at a steady state of synchronous motors when some perturbations occur in a mechanical load torque. In such cases electromagnetic and mechanic phenomena are strongly related, what is reflected by disturbances in the angular velocity and in all motor currents. Non-linear character of equations describing such performances leads to essential difficulties of finding the steady-state solutions directly. The algorithm is presented by a case study of a synchronous motor loaded by a torque with an alternating component. It is assumed that in steady-state, a synchronous motor runs synchronously but periodic perturbations in the angular velocity appear. For such performance the steady-state is found by the harmonic balance method. The paper shows how to formulate the algorithm and presents the properties of measurable motor currents. It is just a first step in the study of disturbances of stator currents due to same faults in a mechanical part of a drive with synchronous motors.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"2 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":"132548365","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.2009.5292760
C. Concari, G. Franceschini, C. Tassoni
Intensive research efforts have been focused on the Motor Current Signature Analysis (MCSA) in order to detect rotor condition of induction machines. The interpretation of the single-phase current spectrum provides direct information on the presence of abnormal conditions, while their quantification is an open problem as signature spectral lines depend also on motor load and inertia. Recently the attention has been focused on the reactive part of the instantaneous power: its spectrum shows a 2sw component related to the fault severity that might improve the diagnosis. The aim of this paper is the performance evaluation of this diagnostic index to state the rotor breakage severity in induction machines. It is shown that instantaneous current components bear the same features as instantaneous power components. Moreover, it is possible to switch from amplitudes and angular displacements of reactive and active current components to the (1±2s)w sidebands and therefore to verify the link among torque ripple, speed ripple, flux and current components.
{"title":"Monitoring of rotor cage conditions in induction machines by instantaneous reactive power and current space vector's reactive component","authors":"C. Concari, G. Franceschini, C. Tassoni","doi":"10.1109/DEMPED.2009.5292760","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292760","url":null,"abstract":"Intensive research efforts have been focused on the Motor Current Signature Analysis (MCSA) in order to detect rotor condition of induction machines. The interpretation of the single-phase current spectrum provides direct information on the presence of abnormal conditions, while their quantification is an open problem as signature spectral lines depend also on motor load and inertia. Recently the attention has been focused on the reactive part of the instantaneous power: its spectrum shows a 2sw component related to the fault severity that might improve the diagnosis. The aim of this paper is the performance evaluation of this diagnostic index to state the rotor breakage severity in induction machines. It is shown that instantaneous current components bear the same features as instantaneous power components. Moreover, it is possible to switch from amplitudes and angular displacements of reactive and active current components to the (1±2s)w sidebands and therefore to verify the link among torque ripple, speed ripple, flux and current components.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"281 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":"115227036","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.2009.5292772
Yi Yang, R. Harley, D. Divan, T. Habetler
A widely and massively distributed power line sensor network (PLSN) has been proposed to monitor such a utility asset's status for enhancing line reliability and maximizing the existing power grid utilization. One of its important applications is to monitor and evaluate the real time dynamic overload current capacity of overhead power lines down to ‘per span’ level of granularity. How to predict the conductor temperature ahead of time subject to various conductor overload conditions is the most critical and challenging task to evaluate the line dynamic thermal rating. This paper proposes an Echo State Network (ESN) to adaptively identify the nonlinear overhead conductor thermal dynamics under different weather conditions, and to predict the conductor temperature. This method requires only temperatures and line current as inputs and its simplified calculation makes it an attractive and cost effective solution to real-time implementation. Furthermore, by continuously providing accurate real-time line thermal condition information, this method can assist in utilizing the power lines more effectively.
{"title":"Thermal modeling and real time overload capacity prediction of overhead power lines","authors":"Yi Yang, R. Harley, D. Divan, T. Habetler","doi":"10.1109/DEMPED.2009.5292772","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292772","url":null,"abstract":"A widely and massively distributed power line sensor network (PLSN) has been proposed to monitor such a utility asset's status for enhancing line reliability and maximizing the existing power grid utilization. One of its important applications is to monitor and evaluate the real time dynamic overload current capacity of overhead power lines down to ‘per span’ level of granularity. How to predict the conductor temperature ahead of time subject to various conductor overload conditions is the most critical and challenging task to evaluate the line dynamic thermal rating. This paper proposes an Echo State Network (ESN) to adaptively identify the nonlinear overhead conductor thermal dynamics under different weather conditions, and to predict the conductor temperature. This method requires only temperatures and line current as inputs and its simplified calculation makes it an attractive and cost effective solution to real-time implementation. Furthermore, by continuously providing accurate real-time line thermal condition information, this method can assist in utilizing the power lines more effectively.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"213 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":"114845526","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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