Yazar "Akin, Bilal" seçeneğine göre listele

Listeleniyor 1 - 6 / 6
  • Küçük Resim Yok
    Öğe
    Broken Rotor Bar Fault Monitoring based on Fluxgate Sensor Measurement of Leakage Flux
    (Ieee, 2017) Goktas, Taner; Arkan, Muslum; Mamis, M. Salih; Akin, Bilal
    Broken rotor bar fault in induction motors significantly affects the motor dynamic performance and increases the mechanical oscillations in torque and speed. Motor current signature analysis has widely been used to detect such fault, yet it has some shortcomings due to motor topology, stator winding and load type dependencies. In this paper, radial leakage flux which contains most critical fault related information is analyzed using a fluxgate sensor to detect broken bar fault in induction motors (IMs). The 2D-Time Stepping Finite Element Method (2D-TSFEM) is used to analyze fault patterns in leakage flux. A 2-Dimensional (2D) finite element analysis and experimental results show that using leakage flux can provide superior and more reliable results than classical motor stator current analysis in IMs.
  • Küçük Resim Yok
    Öğe
    Comprehensive Analysis of Magnet Defect Fault Monitoring Through Leakage Flux
    (Ieee-Inst Electrical Electronics Engineers Inc, 2017) Goktas, Taner; Zafarani, Mohsen; Lee, Kun Wang; Akin, Bilal; Sculley, Terry
    This paper presents a detailed magnet defect fault detection analysis through fluxgate sensors by monitoring the leakage flux around permanent magnet synchronous motors. The flux spectra of electric machines contain direct and most critical information to monitor and characterize magnet defect faults and their progressions. In the mainstream diagnosis techniques based on phase current and back-EMF analysis, the fault corresponding signature characteristics may vary and cause misleading results depending on motor topology, winding configuration, number and location of defective magnets, and controller parameters. In this paper, it is shown that leakage flux analysis provides some superior results for magnet defect diagnosis. For this purpose, the fault patterns in the leakage flux spectrum are exhaustively analyzed at different torque/speed profiles. Simulation and experimental results show that the deployment of a direction sensitive fluxgate sensor in magnet defect fault detection yields very promising results both in time and frequency domain analyses.
  • Küçük Resim Yok
    Öğe
    Interturn Short-Circuit Faults in Permanent Magnet Synchronous Machines: An Extended Review and Comprehensive Analysis
    (Ieee-Inst Electrical Electronics Engineers Inc, 2018) Zafarani, Mohsen; Bostanci, Emine; Qi, Yuan; Goktas, Taner; Akin, Bilal
    This paper presents an extended review and recent advances in modeling and diagnosis of interturn short circuit (ITSC) faults in permanent magnet synchronous machines, supported with in-depth fault analysis. In the analysis part, the influence of the fault intensity on the machine's parameters and performance is analyzed at various operating conditions through finite-element analysis, drive system models, and test bench measurements. The presented findings shed light on the fault signatures and factors that are affecting signature dynamics such as the fault intensity, operating conditions, resistance of the short-circuiting path, and controller action. Following the characterization of the ITSC fault, a detailed literature review on fault signature types and state-of-the art diagnosis methods are presented. The corresponding trends, shortcomings of current solutions, and potential research topics are discussed exhaustively.
  • Küçük Resim Yok
    Öğe
    An Investigation of Motor Topology Impacts on Magnet Defect Fault Signatures
    (Ieee-Inst Electrical Electronics Engineers Inc, 2017) Zafarani, Mohsen; Goktas, Taner; Akin, Bilal; Fedigan, Stephen E.
    This paper presents a study on the topology-dependent magnet defect fault signatures in permanent-magnet motors. A new analytical approach is introduced to characterize the fault signatures in stator back electromotive force (EMF) and current waveforms using magnetic equivalent circuit. Stator winding configuration, winding connection type and location of damaged rotor magnets are some of the physical properties affecting the fault signature characteristics. Several cases with different number of pole and slot are investigated through the proposed method. In addition, different winding connections (including star and delta connection), different winding configurations (including single and double layer, fractional and full coil pitch), and different magnet defect number and location are scrutinized. It is shown that there are some cases exhibiting different fault patterns than the ones obtained through well-known fault models defined in the literature. It is essential to take these discrepancies into account in order to avoid false alarms. In addition, it is observed that some of the fault signatures show up in the stator back EMF spectrum but not in the current spectrum due to location and severity of magnet defect, and design specs. Comparative 2-D finite-element simulations and experimental results justify the theoretical magnet defect fault analysis and show the efficacy of the proposed approach.
  • Küçük Resim Yok
    Öğe
    Separation Harmonics for Detecting Broken Bar Fault in case of Load Torque Oscillation
    (Ieee, 2015) Goktas, Taner; Arkan, Muslum; Zafarani, Mohsen; Akin, Bilal
    This paper presents separation harmonics to discriminate rotor failure from low frequency load torque oscillations in three phase induction motors. The most common method for detecting broken rotor bar faults is to analyze the corresponding sidebands through motor current signature analysis (MCSA). If a motor is subjected to load fluctuation, then the oscillation related sidebands exhibit similar behaviors as well. Particularly, when the load fluctuation frequency is close or equal to that of broken bars, the stator current spectrum analysis can be misleading. In this study, torque and motor phase voltage waveforms are exhaustively analyzed to discriminate broken rotor bar fault from low frequency load torque oscillation in three phase induction motors. In order to extract and justify the separation patterns, 2-D Time Stepping Finite Element Method (TSFEM) is used. The simulation and experimental results show that the proposed approach can successfully be applied to fault separation process in star connected motors.
  • Küçük Resim Yok
    Öğe
    Separation of Induction Motor Rotor Faults and Low Frequency Load Oscillations Through the Radial Leakage Flux
    (Ieee, 2017) Goktas, Taner; Arkan, Muslum; Mamis, M. Salih; Akin, Bilal
    This paper presents a separation method to discern broken rotor bar fault from low frequency load torque oscillation thorough radial leakage flux spectrums in induction motors (IMs). Broken rotor bar fault can usually be detected using classical motor current based analysis (MCSA), but it may not provide reliable results since its performance depend on motor topology, stator winding and load type. Particularly, if a motor is subjected to load fluctuation, then oscillation related signatures exhibit similar behavior that of broken bar which leads misleading signatures. In this paper, radial leakage flux spectrum is exhaustively analyzed thorough a fluxgate sensor to discern these two effects in IMs. It is shown that there are some additional characteristics broken bar signatures such as 3sf(s) and (f(s)-f(r))+/- 2sf(s) in radial leakage flux which do not appear in low frequency load torque oscillation case. A 2-Dimensional (2D) finite element analysis and experiments are carried to show that using leakage flux can provide a separation method and more reliable results than classical MCSA in IMs.