IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i5p1132-d1599501.html
   My bibliography  Save this article

Diagnostics of Inter-Turn Short Circuit Fault in Dry-Type Air-Core Reactor Based on Lissajous Graph and Lightweight Network Model

Author

Listed:
  • Binglong Xiang

    (College of Engineering and Technology, Southwest University, Chongqing 400716, China)

  • Xiaojing Dang

    (Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China)

  • Junlin Zhu

    (Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Lian Chen

    (College of Engineering and Technology, Southwest University, Chongqing 400716, China)

  • Chao Tang

    (College of Engineering and Technology, Southwest University, Chongqing 400716, China)

  • Zhongyong Zhao

    (College of Engineering and Technology, Southwest University, Chongqing 400716, China
    Yibin Academy, Southwest University, Chongqing 644000, China)

Abstract

Dry-type air-core reactors (DARs) often have inter-turn short circuit (ITSC) faults. However, traditional fault detection methods for DARs generally demonstrate poor timeliness and low sensitivity, and few methods combine intelligent algorithms for objective and accurate diagnosis. Therefore, a novel online diagnosis method for ITSC faults was proposed. First, the “field-circuit” coupling 2D model of reactors was established to simulate the impact of ITSC faults on the characteristics of various state parameters; accordingly, the Lissajous graph was introduced to characterize the short circuit fault. Then, the variation law of the Lissajous graph under different inter-turn fault layers, turns, and degrees was explored to verify the feasibilities of the proposed method. Finally, to achieve rapid diagnosis and fulfill the requirements of edge computing, a lightweight network model named MobileNetV3-Small was used and combined as a classifier to achieve accurate diagnosis of ITSC faults. The results robustly validate that the Lissajous graphical method can significantly reflect ITSC faults through observing the variation in the graph and feature parameters. Furthermore, the MobileNetV3-Small model achieves a diagnostic accuracy of up to 95.91%, which can further enhance the diagnostic accuracy of the ITSC fault degree.

Suggested Citation

  • Binglong Xiang & Xiaojing Dang & Junlin Zhu & Lian Chen & Chao Tang & Zhongyong Zhao, 2025. "Diagnostics of Inter-Turn Short Circuit Fault in Dry-Type Air-Core Reactor Based on Lissajous Graph and Lightweight Network Model," Energies, MDPI, vol. 18(5), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1132-:d:1599501
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/5/1132/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/5/1132/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu Wang & Xiaoyue Chen & Zhuohong Pan & Hailiang Lu & Xishan Wen & Zhipeng Jiang & Bin Chen & Tuteng Chen, 2017. "Theoretical and Experimental Evaluation of the Temperature Distribution in a Dry Type Air Core Smoothing Reactor of HVDC Station," Energies, MDPI, vol. 10(5), pages 1-12, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Josué Rodríguez D. & G. Alonso Orcajo & José M. Cano & Joaquín G. Norniella & Asier Vicente, 2020. "Thermal Analysis of Dry-Type Air-Core Coils for the Optimization of Passive Filtering Systems," Energies, MDPI, vol. 13(17), pages 1-24, September.
    2. Tao Jiang & Zhe Yang, 2024. "Comparative Analysis of Magnetic Field Distribution Characteristics of Two Shapes of Air-Core Bridge Arm Reactors," Energies, MDPI, vol. 17(18), pages 1-12, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1132-:d:1599501. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.