Pub Date : 2019-08-27DOI: 10.1109/DEMPED.2019.8864921
A. Messali, M. Hamida, M. Ghanes, M. Koteich
This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.
{"title":"Rotating HF signal injection method improvement based on robust phase-shift estimator for self-sensing control of IPMSM","authors":"A. Messali, M. Hamida, M. Ghanes, M. Koteich","doi":"10.1109/DEMPED.2019.8864921","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864921","url":null,"abstract":"This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138180","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 : 2019-08-27DOI: 10.1109/DEMPED.2019.8864858
Juan A. Ramirez-Nunez, J. Antonino-Daviu, R. Osornio-Ríos, A. Quijano-López, H. Razik, R. Romero-Troncoso
In the induction motor predictive maintenance area there is a continuous search for new techniques and methods that can provide additional information for a more reliable determination of the motor condition. In this context, the analysis of the external magnetic field has drawn the interest of many researchers. The simplicity, low cost and potential of this technique makes it attractive for complementing the diagnosis provided by other well-established methods. More specifically, the study of this quantity during transient operation of the motor (e.g. under the starting) has been recently proposed as a valuable tool for the diagnosis of certain electromechanical faults. Despite this fact, the research in this approach is still incipient and the employed signal processing tools must be still optimized for a better visualization of the fault components and, therefore, for a better determination of the machine condition. This paper presents an advanced algorithm based on MUSIC for enhancing the visualization of the harmonics caused by different motor failures in the electromotive force signals induced by the external magnetic field. Two faults are considered in the work: rotor problems and misalignments. Also, different positions of the external coil sensor are studied. The results prove the potential of the MUSIC algorithm for the reliable diagnosis of electromechanical faults.
{"title":"Transient analysis of the external magnetic field via MUSIC methods for the diagnosis of electromechanical faults in induction motors","authors":"Juan A. Ramirez-Nunez, J. Antonino-Daviu, R. Osornio-Ríos, A. Quijano-López, H. Razik, R. Romero-Troncoso","doi":"10.1109/DEMPED.2019.8864858","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864858","url":null,"abstract":"In the induction motor predictive maintenance area there is a continuous search for new techniques and methods that can provide additional information for a more reliable determination of the motor condition. In this context, the analysis of the external magnetic field has drawn the interest of many researchers. The simplicity, low cost and potential of this technique makes it attractive for complementing the diagnosis provided by other well-established methods. More specifically, the study of this quantity during transient operation of the motor (e.g. under the starting) has been recently proposed as a valuable tool for the diagnosis of certain electromechanical faults. Despite this fact, the research in this approach is still incipient and the employed signal processing tools must be still optimized for a better visualization of the fault components and, therefore, for a better determination of the machine condition. This paper presents an advanced algorithm based on MUSIC for enhancing the visualization of the harmonics caused by different motor failures in the electromotive force signals induced by the external magnetic field. Two faults are considered in the work: rotor problems and misalignments. Also, different positions of the external coil sensor are studied. The results prove the potential of the MUSIC algorithm for the reliable diagnosis of electromechanical faults.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746688","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864907
T. Sobczyk, J. Tulicki, K. Weinreb, R. Mielnik, M. Sułowicz
This paper presents an analysis of the possibilities of induction machine inner fault detection based on rotor cage bars current measurement. Electrical and magnetic asymmetry types and their impact on rotor bar current waveforms were investigated. Measurement results were compared with finite element model simulation results.
{"title":"Characteristic Features of Rotor Bar Current Frequency Spectrum in Cage Induction Machine with Inner Faults","authors":"T. Sobczyk, J. Tulicki, K. Weinreb, R. Mielnik, M. Sułowicz","doi":"10.1109/DEMPED.2019.8864907","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864907","url":null,"abstract":"This paper presents an analysis of the possibilities of induction machine inner fault detection based on rotor cage bars current measurement. Electrical and magnetic asymmetry types and their impact on rotor bar current waveforms were investigated. Measurement results were compared with finite element model simulation results.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123729057","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864903
B. Asad, T. Vaimann, A. Belahcen, A. Kallaste, A. Rassõlkin
Condition monitoring of electrical machines is essential in industrial operations for improving workplace safety and ensuring reliable and economical exploitation of the machines. Motor current signature analysis (MCSA) monitoring technique is gaining heightened popularity due to the simplicity of its algorithms and the least number of sensors required. In this paper, the harmonic spectrum of industrial inverter fed induction motor is investigated for the detection of broken rotor bars. To improve the legibility of the spectrum, the fundamental component is attenuated using infinite impulse response (IIR) filter because of its good transition band, less passband ripples and low order. The results are first taken from finite element method (FEM) based simulation, where the motor is fed with pure sinusoidal current and only faulty and spatial frequencies are investigated and used as a benchmark. The practical results are based on the measurements taken from the laboratory setup, where the motor under investigation is fed through an industrial inverter working under scalar control mode. The data acquisition is done with a good sampling rate of 100 kHz for better resolution.
{"title":"Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis","authors":"B. Asad, T. Vaimann, A. Belahcen, A. Kallaste, A. Rassõlkin","doi":"10.1109/DEMPED.2019.8864903","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864903","url":null,"abstract":"Condition monitoring of electrical machines is essential in industrial operations for improving workplace safety and ensuring reliable and economical exploitation of the machines. Motor current signature analysis (MCSA) monitoring technique is gaining heightened popularity due to the simplicity of its algorithms and the least number of sensors required. In this paper, the harmonic spectrum of industrial inverter fed induction motor is investigated for the detection of broken rotor bars. To improve the legibility of the spectrum, the fundamental component is attenuated using infinite impulse response (IIR) filter because of its good transition band, less passband ripples and low order. The results are first taken from finite element method (FEM) based simulation, where the motor is fed with pure sinusoidal current and only faulty and spatial frequencies are investigated and used as a benchmark. The practical results are based on the measurements taken from the laboratory setup, where the motor under investigation is fed through an industrial inverter working under scalar control mode. The data acquisition is done with a good sampling rate of 100 kHz for better resolution.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998644","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864860
J. Antonino-Daviu, V. Fuster-Roig, Sangwook Park, Yonghyun Park, Hanchun Choi, Jongsan Park, Sang Bin Lee
The damper (or amortisseur) winding of synchronous motors (SM) is a critical component required for starting the motor. Several cases of forced outage of industrial processes due to starting failure of salient pole SMs caused by damper bar damage have recently been reported. Detection of damper bar failure is difficult since they are active only during motor starting, and testing in the field currently relies on off-line visual inspection. It was recently shown that broken damper bars can be detected from the airgap flux, but this requires installation of airgap flux sensors inside the motor. In this paper, a method based on analysis of the stator starting current is proposed for detecting broken damper bars. In addition, an electrical detection method based on signal injection from the motor terminals is proposed. The new methods have been devised to provide remote testing from the motor control center without motor disassembly required in existing tests. Experimental testing performed on a 30 kW salient pole SM prototype with emulated broken bars shows that the proposed methods can provide sensitive and reliable detection of damper bar failures.
{"title":"Electrical Monitoring of Damper Bar Condition in Salient Pole Synchronous Motors without Motor Disassembly","authors":"J. Antonino-Daviu, V. Fuster-Roig, Sangwook Park, Yonghyun Park, Hanchun Choi, Jongsan Park, Sang Bin Lee","doi":"10.1109/DEMPED.2019.8864860","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864860","url":null,"abstract":"The damper (or amortisseur) winding of synchronous motors (SM) is a critical component required for starting the motor. Several cases of forced outage of industrial processes due to starting failure of salient pole SMs caused by damper bar damage have recently been reported. Detection of damper bar failure is difficult since they are active only during motor starting, and testing in the field currently relies on off-line visual inspection. It was recently shown that broken damper bars can be detected from the airgap flux, but this requires installation of airgap flux sensors inside the motor. In this paper, a method based on analysis of the stator starting current is proposed for detecting broken damper bars. In addition, an electrical detection method based on signal injection from the motor terminals is proposed. The new methods have been devised to provide remote testing from the motor control center without motor disassembly required in existing tests. Experimental testing performed on a 30 kW salient pole SM prototype with emulated broken bars shows that the proposed methods can provide sensitive and reliable detection of damper bar failures.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131317715","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864923
K. Gyftakis, P. Panagiotou, Dimitrios Spyrakis
In the last years, the flux monitoring techniques have become popular amongst diagnostic engineering researchers. However the Motor Current Signature Analysis (MCSA) gains more and more ground in industrial applications. A critical comparison of the two methods in the field is then mandatory to identify the possible pros and cons, the limitations, as well as the information that can be extracted from their application. For this purpose, the authors have monitored 4 large 6kV induction motors operating for water pumping applications in the Hydro-electric power plant of “Pigai Aoos” in Greece with both techniques. It has been shown that, pump side issues might cause different harmonic index in the stator current and stray magnetic flux. The analysis of the results leads to the conclusion that the two methods need to work complementary.
{"title":"Recent Experiences with MCSA and Flux Condition Monitoring of Mechanical Faults in 6kV Induction Motors for Water Pumping Applications","authors":"K. Gyftakis, P. Panagiotou, Dimitrios Spyrakis","doi":"10.1109/DEMPED.2019.8864923","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864923","url":null,"abstract":"In the last years, the flux monitoring techniques have become popular amongst diagnostic engineering researchers. However the Motor Current Signature Analysis (MCSA) gains more and more ground in industrial applications. A critical comparison of the two methods in the field is then mandatory to identify the possible pros and cons, the limitations, as well as the information that can be extracted from their application. For this purpose, the authors have monitored 4 large 6kV induction motors operating for water pumping applications in the Hydro-electric power plant of “Pigai Aoos” in Greece with both techniques. It has been shown that, pump side issues might cause different harmonic index in the stator current and stray magnetic flux. The analysis of the results leads to the conclusion that the two methods need to work complementary.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346750","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864901
M. Kanemaru, T. Ohkubo, Sota Sano, A. Satake, Satoru Terashimara
Bearing faults account for a large majority of the faults in three-phase induction motors. Many researches have been conducted to develop a diagnosis technique for bearing faults using the motor current in an induction motor. However, the characteristics of the motor stator current and radial shaft displacement have not yet been clarified when there is a faulty bearing in an induction motor driven by a PWM inverter. The purpose of this paper is to investigate the relationship between the power spectral density of the rotational frequency band of the stator current and the radial shaft displacement of the induction motor driven by a PWM inverter. Experiments were performed with normal and abnormal motors. Then, the characteristics of the power spectral density of the rotational frequency band of the stator current are discussed based on the experimental results of the radial shaft displacement.
{"title":"Investigating Current and Radial Shaft Displacement of Induction Motor Driven by Pulse-Width Modulation Inverter for Bearing Fault Detection","authors":"M. Kanemaru, T. Ohkubo, Sota Sano, A. Satake, Satoru Terashimara","doi":"10.1109/DEMPED.2019.8864901","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864901","url":null,"abstract":"Bearing faults account for a large majority of the faults in three-phase induction motors. Many researches have been conducted to develop a diagnosis technique for bearing faults using the motor current in an induction motor. However, the characteristics of the motor stator current and radial shaft displacement have not yet been clarified when there is a faulty bearing in an induction motor driven by a PWM inverter. The purpose of this paper is to investigate the relationship between the power spectral density of the rotational frequency band of the stator current and the radial shaft displacement of the induction motor driven by a PWM inverter. Experiments were performed with normal and abnormal motors. Then, the characteristics of the power spectral density of the rotational frequency band of the stator current are discussed based on the experimental results of the radial shaft displacement.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125891176","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864859
Pengfei Tian, C. Platero, F. Blázquez, J. M. Guerrero
Nowadays the scientists' attention has been focused on the electric vehicle field carrying out numerous researches and studies. The ground fault in electric vehicle is quite common due to the severe operation conditions, such as vibrations, twists or even shocks. The electric systems in electric vehicles are ungrounding, so the first ground fault is not dangerous. Nevertheless, a second ground fault could produce malfunction of some systems, power loss or even damages. It takes time to locate where the grounded fault comes from (DC or AC part). This research is focused on developing a ground-fault detection method for electric vehicles. The method is based on the analysis of the voltage in a grounding resistor. According to the polarity and harmonics, it is possible to locate the ground fault. This method has been tested by computer simulations with promising results.
{"title":"Ground Fault Location System for Powertrain of Electric Vehicles","authors":"Pengfei Tian, C. Platero, F. Blázquez, J. M. Guerrero","doi":"10.1109/DEMPED.2019.8864859","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864859","url":null,"abstract":"Nowadays the scientists' attention has been focused on the electric vehicle field carrying out numerous researches and studies. The ground fault in electric vehicle is quite common due to the severe operation conditions, such as vibrations, twists or even shocks. The electric systems in electric vehicles are ungrounding, so the first ground fault is not dangerous. Nevertheless, a second ground fault could produce malfunction of some systems, power loss or even damages. It takes time to locate where the grounded fault comes from (DC or AC part). This research is focused on developing a ground-fault detection method for electric vehicles. The method is based on the analysis of the voltage in a grounding resistor. According to the polarity and harmonics, it is possible to locate the ground fault. This method has been tested by computer simulations with promising results.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130733036","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864881
M. Mengoni, L. Vancini, A. Tani, Y. Gritli, L. Zarri, C. Rossi
By splitting the total power among several phases, multiphase drives allow reaching high power levels. Also, a suitable control system can take advantage of the higher number of phases and make the electric drive more robust to open-phase faults. However, in permanent magnet machines, a type of fault that has often been a challenging problem for the researchers is the demagnetization of the rotor magnets, which can be indistinguishable from other types of fault or becomes significant only in a specific working range. In this paper, an on-line control scheme for the monitoring of the status of the rotor magnets is illustrated for an asymmetric six phase permanent-magnet machine with two insulated three-phase windings. The developed control scheme ensures that the drive can still operate in case of a partial rotor magnet demagnetization, and identifies the abnormal operating condition by estimating the demagnetization level. Experimental results are shown to demonstrate the performance of the control scheme.
{"title":"On-line Detection of Magnet Demagnetization in Asymmetrical Six-Phase Surface-Mounted Permanent Magnet Synchronous Motor Drives","authors":"M. Mengoni, L. Vancini, A. Tani, Y. Gritli, L. Zarri, C. Rossi","doi":"10.1109/DEMPED.2019.8864881","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864881","url":null,"abstract":"By splitting the total power among several phases, multiphase drives allow reaching high power levels. Also, a suitable control system can take advantage of the higher number of phases and make the electric drive more robust to open-phase faults. However, in permanent magnet machines, a type of fault that has often been a challenging problem for the researchers is the demagnetization of the rotor magnets, which can be indistinguishable from other types of fault or becomes significant only in a specific working range. In this paper, an on-line control scheme for the monitoring of the status of the rotor magnets is illustrated for an asymmetric six phase permanent-magnet machine with two insulated three-phase windings. The developed control scheme ensures that the drive can still operate in case of a partial rotor magnet demagnetization, and identifies the abnormal operating condition by estimating the demagnetization level. Experimental results are shown to demonstrate the performance of the control scheme.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226434","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 : 2019-08-01DOI: 10.1109/DEMPED.2019.8864828
R. Vincentius, A. W. Nugraha, P. Talitha, P. Margo, P. Ardyono, H. Mauridhi
The electric machines such as motor, transformer, and generator plays an essential role in the production process of a factory. Due to expansion, there is an intention to invest a new electric machine that expected to work correctly with the existing system. To integrate the new electric machines, the existing protection system has to be evaluated carefully without limiting the machine's capability. Based on the actual experiences, one of the frustrating issues during the commissioning stage is energizing failure due to relay mal-trip. The objective of this paper is to summarize and model the electrical machines in the protection system perspective and offers a new method to coordinate the relays with the electric machines recognition using the artificial intelligence of serial firefly algorithm. This proposed method is endorsed by a real industrial power system and will demonstrate the ability to coordinate the relays without violating the electric machine boundary.
{"title":"Recognition of Electric Machines Boundary as The Constraint of Over Current Relay Coordination in Real Industrial Application with Serial Firefly Algorithm Optimization","authors":"R. Vincentius, A. W. Nugraha, P. Talitha, P. Margo, P. Ardyono, H. Mauridhi","doi":"10.1109/DEMPED.2019.8864828","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864828","url":null,"abstract":"The electric machines such as motor, transformer, and generator plays an essential role in the production process of a factory. Due to expansion, there is an intention to invest a new electric machine that expected to work correctly with the existing system. To integrate the new electric machines, the existing protection system has to be evaluated carefully without limiting the machine's capability. Based on the actual experiences, one of the frustrating issues during the commissioning stage is energizing failure due to relay mal-trip. The objective of this paper is to summarize and model the electrical machines in the protection system perspective and offers a new method to coordinate the relays with the electric machines recognition using the artificial intelligence of serial firefly algorithm. This proposed method is endorsed by a real industrial power system and will demonstrate the ability to coordinate the relays without violating the electric machine boundary.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116606667","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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