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Study of Induction Motor Inter-Turn Fault Part II: Online Model-Based Fault Diagnosis Method

Author

Listed:
  • Seong-Hwan Im

    (School of Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Bon-Gwan Gu

    (School of Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

Abstract

This paper (Part II) is a follow-up paper to our previous work on developing induction motor inter-turn fault (ITF) models (Part I). In this paper, an online ITF diagnosis method of induction motors is proposed by utilizing the negative sequence current as a fault signal based on the fault model of the previous study in part I. The relationships among fault parameters, negative sequence current, and fault copper loss are analyzed with the ITF model. The analyses show that the fault severity index, a function of fault parameters, is directly related to the negative sequence and the copper loss. Therefore, the proposed model-based fault diagnosis method estimates the fault severity index from the negative sequence current and recognizes the ITF. With the estimated fault severity index, the fault copper loss by the ITF, causing thermal degradation, can be calculated. Finally, experiments were performed in various fault conditions to verify the proposed fault diagnosis method.

Suggested Citation

  • Seong-Hwan Im & Bon-Gwan Gu, 2022. "Study of Induction Motor Inter-Turn Fault Part II: Online Model-Based Fault Diagnosis Method," Energies, MDPI, vol. 15(3), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:977-:d:737304
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    Citations

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    Cited by:

    1. Toomas Vaimann & Jose Alfonso Antonino-Daviu & Anton Rassõlkin, 2023. "Novel Approaches to Electrical Machine Fault Diagnosis," Energies, MDPI, vol. 16(15), pages 1-4, July.
    2. Saud Altaf & Shafiq Ahmad & Mazen Zaindin & Shamsul Huda & Sofia Iqbal & Muhammad Waseem Soomro, 2022. "Multiple Industrial Induction Motors Fault Diagnosis Model within Powerline System Based on Wireless Sensor Network," Sustainability, MDPI, vol. 14(16), pages 1-29, August.

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