Yazar "Mamis, M. Salih" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • 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
    Monitoring of Leakage Flux for Rotor Fault Detection under non-adjacent broken rotor bars in Induction Motors
    (Ieee, 2019) Goktas, Taner; Ekinci, Imran; Yuklu, Nihat; Arkan, Muslum; Mamis, M. Salih
    In this paper, leakage flux is monitored when induction motors expose to non-adjacent broken rotor bars fault. The detection of rotor faults based on stator current analysis may sometimes become challenging if the corresponding broken bar positions are in half and full pole-pitch. In such cases, electromagnetic distribution can be keep symmetrical due to induced magnetic field by corresponding broken bar positions. This leads to reduce diagnostics ability for rotor bar fault. In order to minimize the such problems, leakage flux is examined using finite element analysis (FEA) in induction motors. Comparative results for stator current and leakage flux are presented to show the diagnostics ability and advantages of leakage flux based analysis. The 2D-FEA results show that some characteristics signatures such as 3sf(s) and f(r)+sf(s) in leakage flux are more reliable signatures to detect broken rotor bar fault even the positions of broken bars are in half-and full pole pitch distance.
  • 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.