Current Space Vector

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Gerardandre Capolino - One of the best experts on this subject based on the ideXlab platform.

  • fault index statistical study for gear fault detection using stator Current Space Vector analysis
    IEEE Transactions on Industry Applications, 2016
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    This paper presents a statistical analysis on a fault index computed based on the stator Current Space Vector instantaneous frequency on a real-time platform for online noninvasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficiency of the fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults by using a setup based on a 250-W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.

  • fault index statistical study for gear fault detection using stator Current Space Vector analysis
    2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines Power Electronics and Drives (SDEMPED), 2015
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    This paper presents a statistical analysis on a fault index computed based on the stator Current Space Vector instantaneous frequency on a real-time platform for online non-invasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond of which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficacy of fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults using a set-up based on a 250W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.

  • gear tooth surface damage fault detection using induction machine stator Current Space Vector analysis
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    A noninvasive technique for the diagnosis of gear tooth surface damage faults based upon the stator Current Space Vector analysis is presented. The torque oscillation profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. This profile consists of a mechanical impact generated by the fault followed by a damped oscillation that can be identified through the mechanical system torsional natural frequency and damping factor. Through theoretical developments, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator Current and harmonics integer multiple of the rotation frequency in the stator Current Space Vector instantaneous frequency. The fault signature related to the gear tooth surface damage fault is predicted through the numerical simulation. The simulation results are validated through experimental tests, illustrating a possible noninvasive gear tooth surface damage fault detection with a fault sensitivity comparable to invasive methods. A dedicated experimental setup, which is based on a 250-W squirrel-cage three-phase induction machine that is shaft connected to a single-stage gear, has been used for this purpose.

  • gear tooth surface damage fault detection using induction machine electrical signature analysis
    IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives, 2013
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    The aim of the present work is the diagnosis of tooth surface damage fault in gears using the induction machine electrical signature analysis. The condition monitoring of gears is a crucial task due to its importance in the mechanical power transmission in industrial, aeroSpace and automotive applications. The vibration analysis has been commonly used as an effective tool for gear fault diagnosis in several studies. The gear torsional vibration effect in the stator Current and the estimated electromagnetic torque has been previously studied based on the observation of gear mechanical characteristic frequencies in the spectrum of the load torque. This paper investigates the profile generated by a gear tooth surface damage fault in the load torque. It will be shown that the periodic behavior of this particular profile produces fault-related frequencies in the stator Current and hence harmonics namely integer multiple of rotation frequency in the instantaneous frequency of the stator Current Space Vector and the estimated electromagnetic torque. The obtained results show a possible non-invasive gear tooth surface damage fault detection with a fault sensitivity comparable to the one obtained with invasive methods. A set-up based on a 250W three-phase squirrel-cage induction machine shaft-connected to a single-stage gear has been used for this purpose.

  • Gear tooth surface damage fault profile identification using stator Current Space Vector instantaneous frequency
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    A non-invasive technique for the diagnosis of the gear tooth surface damage fault based on the induction machine stator Current Space Vector instantaneous frequency analysis is presented. The profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. Then, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator Current and hence harmonics namely integer multiple of rotation frequency in the instantaneous frequency of the stator Current Space Vector. The results show possible non-invasive gear tooth surface damage fault detection with fault sensitivity comparable to most of the invasive methods. A dedicated experimental set-up, based on a 250W squirrel-cage three-phase induction machine shaft-connected to a single-stage gear, has been used for this purpose.

Shahin Hedayati Kia - One of the best experts on this subject based on the ideXlab platform.

  • fault index statistical study for gear fault detection using stator Current Space Vector analysis
    IEEE Transactions on Industry Applications, 2016
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    This paper presents a statistical analysis on a fault index computed based on the stator Current Space Vector instantaneous frequency on a real-time platform for online noninvasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficiency of the fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults by using a setup based on a 250-W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.

  • fault index statistical study for gear fault detection using stator Current Space Vector analysis
    2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines Power Electronics and Drives (SDEMPED), 2015
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    This paper presents a statistical analysis on a fault index computed based on the stator Current Space Vector instantaneous frequency on a real-time platform for online non-invasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond of which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficacy of fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults using a set-up based on a 250W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.

  • gear tooth surface damage fault detection using induction machine stator Current Space Vector analysis
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    A noninvasive technique for the diagnosis of gear tooth surface damage faults based upon the stator Current Space Vector analysis is presented. The torque oscillation profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. This profile consists of a mechanical impact generated by the fault followed by a damped oscillation that can be identified through the mechanical system torsional natural frequency and damping factor. Through theoretical developments, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator Current and harmonics integer multiple of the rotation frequency in the stator Current Space Vector instantaneous frequency. The fault signature related to the gear tooth surface damage fault is predicted through the numerical simulation. The simulation results are validated through experimental tests, illustrating a possible noninvasive gear tooth surface damage fault detection with a fault sensitivity comparable to invasive methods. A dedicated experimental setup, which is based on a 250-W squirrel-cage three-phase induction machine that is shaft connected to a single-stage gear, has been used for this purpose.

  • gear tooth surface damage fault detection using induction machine electrical signature analysis
    IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives, 2013
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    The aim of the present work is the diagnosis of tooth surface damage fault in gears using the induction machine electrical signature analysis. The condition monitoring of gears is a crucial task due to its importance in the mechanical power transmission in industrial, aeroSpace and automotive applications. The vibration analysis has been commonly used as an effective tool for gear fault diagnosis in several studies. The gear torsional vibration effect in the stator Current and the estimated electromagnetic torque has been previously studied based on the observation of gear mechanical characteristic frequencies in the spectrum of the load torque. This paper investigates the profile generated by a gear tooth surface damage fault in the load torque. It will be shown that the periodic behavior of this particular profile produces fault-related frequencies in the stator Current and hence harmonics namely integer multiple of rotation frequency in the instantaneous frequency of the stator Current Space Vector and the estimated electromagnetic torque. The obtained results show a possible non-invasive gear tooth surface damage fault detection with a fault sensitivity comparable to the one obtained with invasive methods. A set-up based on a 250W three-phase squirrel-cage induction machine shaft-connected to a single-stage gear has been used for this purpose.

  • Gear tooth surface damage fault profile identification using stator Current Space Vector instantaneous frequency
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    A non-invasive technique for the diagnosis of the gear tooth surface damage fault based on the induction machine stator Current Space Vector instantaneous frequency analysis is presented. The profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. Then, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator Current and hence harmonics namely integer multiple of rotation frequency in the instantaneous frequency of the stator Current Space Vector. The results show possible non-invasive gear tooth surface damage fault detection with fault sensitivity comparable to most of the invasive methods. A dedicated experimental set-up, based on a 250W squirrel-cage three-phase induction machine shaft-connected to a single-stage gear, has been used for this purpose.

H Henao - One of the best experts on this subject based on the ideXlab platform.

  • fault index statistical study for gear fault detection using stator Current Space Vector analysis
    IEEE Transactions on Industry Applications, 2016
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    This paper presents a statistical analysis on a fault index computed based on the stator Current Space Vector instantaneous frequency on a real-time platform for online noninvasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficiency of the fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults by using a setup based on a 250-W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.

  • fault index statistical study for gear fault detection using stator Current Space Vector analysis
    2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines Power Electronics and Drives (SDEMPED), 2015
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    This paper presents a statistical analysis on a fault index computed based on the stator Current Space Vector instantaneous frequency on a real-time platform for online non-invasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond of which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficacy of fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults using a set-up based on a 250W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.

  • gear tooth surface damage fault detection using induction machine stator Current Space Vector analysis
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    A noninvasive technique for the diagnosis of gear tooth surface damage faults based upon the stator Current Space Vector analysis is presented. The torque oscillation profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. This profile consists of a mechanical impact generated by the fault followed by a damped oscillation that can be identified through the mechanical system torsional natural frequency and damping factor. Through theoretical developments, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator Current and harmonics integer multiple of the rotation frequency in the stator Current Space Vector instantaneous frequency. The fault signature related to the gear tooth surface damage fault is predicted through the numerical simulation. The simulation results are validated through experimental tests, illustrating a possible noninvasive gear tooth surface damage fault detection with a fault sensitivity comparable to invasive methods. A dedicated experimental setup, which is based on a 250-W squirrel-cage three-phase induction machine that is shaft connected to a single-stage gear, has been used for this purpose.

  • gear tooth surface damage fault detection using induction machine electrical signature analysis
    IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives, 2013
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    The aim of the present work is the diagnosis of tooth surface damage fault in gears using the induction machine electrical signature analysis. The condition monitoring of gears is a crucial task due to its importance in the mechanical power transmission in industrial, aeroSpace and automotive applications. The vibration analysis has been commonly used as an effective tool for gear fault diagnosis in several studies. The gear torsional vibration effect in the stator Current and the estimated electromagnetic torque has been previously studied based on the observation of gear mechanical characteristic frequencies in the spectrum of the load torque. This paper investigates the profile generated by a gear tooth surface damage fault in the load torque. It will be shown that the periodic behavior of this particular profile produces fault-related frequencies in the stator Current and hence harmonics namely integer multiple of rotation frequency in the instantaneous frequency of the stator Current Space Vector and the estimated electromagnetic torque. The obtained results show a possible non-invasive gear tooth surface damage fault detection with a fault sensitivity comparable to the one obtained with invasive methods. A set-up based on a 250W three-phase squirrel-cage induction machine shaft-connected to a single-stage gear has been used for this purpose.

  • Gear tooth surface damage fault profile identification using stator Current Space Vector instantaneous frequency
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Shahin Hedayati Kia, H Henao, Gerardandre Capolino
    Abstract:

    A non-invasive technique for the diagnosis of the gear tooth surface damage fault based on the induction machine stator Current Space Vector instantaneous frequency analysis is presented. The profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. Then, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator Current and hence harmonics namely integer multiple of rotation frequency in the instantaneous frequency of the stator Current Space Vector. The results show possible non-invasive gear tooth surface damage fault detection with fault sensitivity comparable to most of the invasive methods. A dedicated experimental set-up, based on a 250W squirrel-cage three-phase induction machine shaft-connected to a single-stage gear, has been used for this purpose.

O Vodyakho - One of the best experts on this subject based on the ideXlab platform.

  • three level inverter based shunt active power filter in three phase three wire and four wire systems
    IEEE Transactions on Power Electronics, 2009
    Co-Authors: O Vodyakho, Chunting Mi
    Abstract:

    This paper presents a direct Current-Space-Vector control of an active power filter (APF) based on a three-level neutral-point-clamped (NPC) voltage-source inverter. The proposed method indirectly generates the compensation Current reference by using an equivalent conductance of the fundamental component using APF's dc-link voltage control. The proposed control can selectively choose harmonic Current components by real-time fast Fourier transform to generate the compensation Current. The compensation Current is represented in a rotating coordinate system with chosen switching states from a switching table implemented in a field-programmable gate array. In addition, a three-phase four-wire APF based on a three-level neutral-point-clamped inverter is also presented. The proposed APF eliminates harmonics in all three phases as well as the neutral Current. A three-phase three-wire NPC inverter system can be used as a three-phase four-wire system since the split dc capacitors provide a neutral connection. To regulate and balance the split dc-capacitor voltages, a new control method using a sign cubical hysteresis controller is proposed. The characteristics of the APF system with an LCL-ripple filter are investigated and compared with traditional Current control strategies to evaluate the inherent advantages. The simulation and experimental results validated the feasibility of the proposed APF.

  • novel direct Current Space Vector controlfor shunt active power filters basedon the three level inverter
    IEEE Transactions on Power Electronics, 2008
    Co-Authors: O Vodyakho, D Hackstein, A Steimel, Taehyung Kim
    Abstract:

    The growing number of electric drives with non-sinusoidal line Currents has given increased interest in active power filters (APF), to avoid grid problems caused by harmonic distortions. In this paper, a novel direct Current-Space-Vector control scheme (DCSVC) is presented for a three-level, neutral-point-clamped voltage source inverter, which is employed as an active power filter. The proposed method generates the compensation Current reference indirectly generating an equivalent ohmic conductance for the fundamental component by means of the APF's DC-link voltage control. Based on the fast Fourier transform the compensation of the reactive fundamental Current and selectable harmonics can be cancelled, confining the operation to only harmonic compensation and thus saving the APF's apparent power. The novel DCSVC, operating in synchronously rotating coordinates is implemented in a field programmable gate array, realizing the switching states from switching tables. The proposed control reduces the average switching frequency and thus, the switching power loss significantly, compared with a previous DCSVC, operating in stationary coordinates. Simulation and experimental results validate the feasibility and highly dynamic performance of the proposed control, both for harmonic and total non-active Current compensation.

  • novel direct Current Space Vector control for shunt active power filters based on three level inverters
    Applied Power Electronics Conference, 2008
    Co-Authors: O Vodyakho, D Hackstein, A Steimel, Taehyung Kim
    Abstract:

    The permanently growing number of electric drives with non-sinusoidal line Currents has given increased interest in active power filters (APF), to avoid grid problems caused by harmonic distortions. In this paper, a novel direct Current-Space-Vector control scheme (DCSVC) is presented for a three-level, neutral- point-clamped voltage-source inverter, which is employed as an active power filter. The proposed method works in the time domain, generating the equivalent ohmic conductance indirectly by means of the dc-link voltage control of the APF. Based on the Fast Fourier Transform (FFT) the compensation of the reactive fundamental Current can be cancelled, confining the operation to only harmonic compensation and thus saving the APF's apparent power. The novel direct Current-Space-Vector controller, operating in synchronously rotating coordinates is implemented in a field programmed gate array (FPGA), realizing the switching states from switching tables. The proposed control reduces the average switching frequency and thus, the switching power loss significantly, compared with a previous direct Current-Space-Vector control, operating in stationary coordinates. Simulation and experimental results validate the feasibility and highly dynamic performance of the proposed control, both for harmonic and total non-active Current compensation.

C Tassoni - One of the best experts on this subject based on the ideXlab platform.

  • validation of a faulted rotor induction machine model with an insightful geometrical interpretation of physical quantities
    IEEE Transactions on Industrial Electronics, 2013
    Co-Authors: Carlo Concari, G Franceschini, C Tassoni, A Toscani
    Abstract:

    Many proposals about induction-machine broken-bar detection can be found in the literature. Disturbances that affect phase Currents, Current Space Vector, power, fluxes, torque, and speed have been utilized to diagnose mains-supplied machines. Nevertheless, there is still disagreement about how the fault signatures of the different variables correlate with the actual fault and how they depend on the operating conditions. This paper presents a simple but effective analytical representation of induction machines with rotor faults, based on a synchronous reference frame and on Steinmetz's phasors. The developed relationships can be visualized through equivalent circuits, feedback loop block diagrams, or geometrical loci, allowing a deep understanding of the underlying physical phenomena, particularly as functions of inertia and of the machine parameters. The insight thus gained helps to enhance the quantification of fault severity with respect to the usual diagnostic technique based on the sum of the sidebands, clearly defining for the first time the field of validity of such technique. The analytical results are verified through simulations and experiments.

  • induction machine Current Space Vector features to effectively discern and quantify rotor faults and external torque ripple
    Iet Electric Power Applications, 2012
    Co-Authors: Carlo Concari, G Franceschini, C Tassoni
    Abstract:

    Intensive research efforts have been spent with the aim of separating the effects of load torque unbalance from those of rotor faults in induction machines. Recent literature reports that active and reactive components of the Current Space Vector seem to show different features in correspondence of the two fault events. This study shows the angular displacement of the above components is fundamental in order to distinguish external torque ripple from rotor faults. The fault severity and the external torque ripple can also be effectively determined. Moreover, the proposed technique allows to assess the range of validity of the usual motor Current signature analysis (MCSA), based on the sum of the amplitude of stator Current sidebands, for quantifying rotor bar faults.

  • an insightful geometrical interpretation of spectral components of the physical quantities involved in induction machines rotor faults
    IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives, 2011
    Co-Authors: Carlo Concari, G Franceschini, C Tassoni
    Abstract:

    This paper deeply investigates features of both Current Space Vector components in rotating reference frame and stator Current sidebands in case of induction motor rotor fault. Geometrical loci described by the representative phasors at pulsation 2sω and their dependence on inertia are evidenced. The link among torque ripple, speed ripple and flux angular ripple is considered as well, obtaining a thorough understanding and geometrical visualization of related physical phenomena.

  • discerning mechanical load unbalances from rotor faults in induction machines through Current Space Vector components
    Conference of the Industrial Electronics Society, 2010
    Co-Authors: Carlo Concari, G Franceschini, C Tassoni
    Abstract:

    Low frequency load torque oscillations and rotor faults have similar effects on stator Current spectral contents of induction machines. Intensive researches efforts have been spent with the aim of separating them through Motor Current Signature Analysis (MCSA). So far, however, the proposed techniques are impractical because they need an accurate estimation of the machine parameters. In this paper a procedure to discern the two kinds of events, based on the unique features of the Current Space Vector, is proposed. By this procedure, MCSA can be safely used to diagnose rotor faults.

  • monitoring of rotor cage conditions in induction machines by instantaneous reactive power and Current Space Vector s reactive component
    IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives, 2009
    Co-Authors: Carlo Concari, G Franceschini, C Tassoni
    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.

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