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Analysis of Torque Ripples of an Induction Motor Taking into Account a Inter-Turn Short-Circuit in a Stator Winding

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  • Wojciech Pietrowski

    (Institute of Electrical Engineering and Electronics, Division of Mechatronics and Electrical Machines, Poznan University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland)

  • Konrad Górny

    (Institute of Electrical Engineering and Electronics, Division of Mechatronics and Electrical Machines, Poznan University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland)

Abstract

Despite the increasing popularity of permanent magnet synchronous machines, induction motors (IM) are still the most frequently used electrical machines in commercial applications. Ensuring a failure-free operation of IM motivates research aimed at the development of effective methods of monitoring and diagnostic of electrical machines. The presented paper deals with diagnostics of an IM with failure of an inter-turn short-circuit in a stator winding. As this type of failure commonly does not lead immediately to exclusion of a drive system, an early stage diagnosis of inter-turn short-circuit enables preventive maintenance and reduce the costs of a whole drive system failure. In the proposed approach, the early diagnostics of IM with the inter-turn short-circuit is based on the analysis of an electromagnetic torque waveform. The research is based on an elaborated numerical field–circuit model of IM. In the presented model, the inter-turn short-circuit in the selected winding has been accounted for. As the short-circuit between the turns can occur in different locations in coils of winding, computations were carried out for various quantity of shorted turns in the winding. The performed analysis of impact of inter-turn short-circuit on torque waveforms allowed to find the correlation between the quantity of shorted turns and torque ripple level. This correlation can be used as input into the first layer of an artificial neural network in early and noninvasive diagnostics of drive systems.

Suggested Citation

  • Wojciech Pietrowski & Konrad Górny, 2020. "Analysis of Torque Ripples of an Induction Motor Taking into Account a Inter-Turn Short-Circuit in a Stator Winding," Energies, MDPI, vol. 13(14), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3626-:d:384328
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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. Yiguang Chen & Xiaobin Zhao & Yukai Yang & Yichen Shi, 2019. "Online Diagnosis of Inter-turn Short Circuit for Dual-Redundancy Permanent Magnet Synchronous Motor Based on Reactive Power Difference," Energies, MDPI, vol. 12(3), pages 1-18, February.
    3. Takwa Sellami & Hanen Berriri & Sana Jelassi & A Moumen Darcherif & M Faouzi Mimouni, 2017. "Short-Circuit Fault Tolerant Control of a Wind Turbine Driven Induction Generator Based on Sliding Mode Observers," Energies, MDPI, vol. 10(10), pages 1-21, October.
    4. Baoshan Huang & Guojin Feng & Xiaoli Tang & James Xi Gu & Guanghua Xu & Robert Cattley & Fengshou Gu & Andrew D. Ball, 2019. "A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems," Energies, MDPI, vol. 12(8), pages 1-23, April.
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    Cited by:

    1. Konrad Górny & Piotr Kuwałek & Wojciech Pietrowski, 2021. "Increasing Electric Vehicles Reliability by Non-Invasive Diagnosis of Motor Winding Faults," Energies, MDPI, vol. 14(9), pages 1-14, April.
    2. Paweł Idziak & Krzysztof Kowalski, 2021. "Analysis of Selected Operating States of the Line Start Synchronous Reluctance Motor Using the Finite Element Method," Energies, MDPI, vol. 14(20), pages 1-18, October.

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