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A comparative study for stator winding inter-turn short-circuit fault detection based on harmonic analysis of induction machine signatures

Author

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  • Zorig, Assam
  • Hedayati Kia, Shahin
  • Chouder, Aissa
  • Rabhi, Abdelhamid

Abstract

This article deals with inter-turn short-circuit fault detection in stator windings of squirrel cage induction machines. The main aim is to perform harmonic analysis of different electrical signatures namely the stator phase current, external magnetic flux and electromagnetic torque at different levels of mechanical load in order to develop an efficient fault detection approach of this kind of defect in induction machines. The proposed approach is based on the analysis of saturation related harmonics at rank 3k1fs, where k1 is an odd number, and magnetomotive force (MMF)-related harmonics at rank (6k2±1)fs, with k2=1,2,… in stator phase current and stray flux and harmonics at rank 2k2fs in electromagnetic torque. The amplitudes of these last harmonics in healthy condition are compared with 3% power supply unbalance, 16.6% (40 turns) and 33% (80 turns) levels of inter-turn short-circuit fault in frequency range from 0 Hz to 2500 Hz under different levels of mechanical load. Besides, the stand-still test is also investigated in this work. Simulation study is carried out based on 2.2kW squirrel cage IM using finite element method (FEM). This method provides accurate and inexpensive tool for evaluating the performance of induction machine under healthy and faulty conditions. The obtained results demonstrate that the stray flux is the most sensitive signature to the stator winding inter-turn short-circuit fault, and it is robust against the power supply unbalance in comparison with both stator current and electromagnetic torque.

Suggested Citation

  • Zorig, Assam & Hedayati Kia, Shahin & Chouder, Aissa & Rabhi, Abdelhamid, 2022. "A comparative study for stator winding inter-turn short-circuit fault detection based on harmonic analysis of induction machine signatures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 273-288.
    • Handle: RePEc:eee:matcom:v:196:y:2022:i:c:p:273-288
    DOI: 10.1016/j.matcom.2022.01.019
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    References listed on IDEAS

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    1. Luqman Maraaba & Zakariya Al-Hamouz & Mohammad Abido, 2018. "An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors," Energies, MDPI, vol. 11(3), pages 1-18, March.
    2. Grzegorz Tarchała & Marcin Wolkiewicz, 2019. "Performance of the Stator Winding Fault Diagnosis in Sensorless Induction Motor Drive," Energies, MDPI, vol. 12(8), pages 1-20, April.
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