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An efficient, simplified multiple-coupled circuit model of the induction motor aimed to simulate different types of stator faults

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  • Bouzid, M.
  • Champenois, G.

Abstract

This paper proposes an original simplified model aimed to simulate, an easy way, inter turns short circuit fault, phase to phase fault and phase to ground fault. In this model, the stator is considered as six magnetically coupled windings and the rotor as three not magnetically coupled R–L circuits. The paper also presents the star- and delta-connected stator configurations of the simplified model. However, the proposed simplified model is suitable only for steady-state operation. The performance of the simplified model is first verified by a comparison between the simulated current of the multiple-coupled model and the simplified model. Then, since the stator faults have an impact on the symmetrical components of the stator current, this paper uses these components to validate the behavior of the simplified model by simulation and experimentally using a 1.1kW motor. In addition, simulated results of the simplified model for a 110kW motor are presented in order to generalize the use of the proposed model to larger motors.

Suggested Citation

  • Bouzid, M. & Champenois, G., 2013. "An efficient, simplified multiple-coupled circuit model of the induction motor aimed to simulate different types of stator faults," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 98-115.
    • Handle: RePEc:eee:matcom:v:90:y:2013:i:c:p:98-115
    DOI: 10.1016/j.matcom.2013.04.005
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    References listed on IDEAS

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    1. Liang, B & Payne, B.S & Ball, A.D & Iwnicki, S.D, 2002. "Simulation and fault detection of three-phase induction motors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 61(1), pages 1-15.
    2. Kowalski, Czeslaw T & Orlowska-Kowalska, Teresa, 2003. "Neural networks application for induction motor faults diagnosis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(3), pages 435-448.
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    Cited by:

    1. Cherif, Hakima & Benakcha, Abdelhamid & Laib, Ismail & Chehaidia, Seif Eddine & Menacer, Arezky & Soudan, Bassel & Olabi, A.G., 2020. "Early detection and localization of stator inter-turn faults based on discrete wavelet energy ratio and neural networks in induction motor," Energy, Elsevier, vol. 212(C).

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