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CORRECTION article

Front. Phys., 07 January 2026

Sec. Interdisciplinary Physics

Volume 13 - 2025 | https://doi.org/10.3389/fphy.2025.1653152

Correction: Research on the identification method of cable insulation defects based on Markov transition fields and transformer networks

Ning Zhao
Ning Zhao*Yongyi FangYongyi FangSiying WangSiying WangQian LiQian LiXiaonan WangXiaonan WangChi FengChi Feng
  • State Grid Shijiazhuang Electric Power Supply Company, Shijiazhuang, Hebei, China

A Correction on
Research on the identification method of cable insulation defects based on Markov transition fields and transformer networks

by Zhao N, Fang Y, Wang S, Li Q, Wang X and Feng C (2024). Front. Phys. 12:1432783. doi: 10.3389/fphy.2024.1432783

The funding number in the conflict of interest statement was erroneously given as No. KJ2022-006. The correct conflict of interest statement is “Authors NZ, YF, SW, QL, XW, and CF were employed by State Grid Shijiazhuang Electric Power Supply Company. The authors declare that this study received funding from State Grid Hebei Electric Power Co., Ltd. (No. KJ2022-006). The funder was involved in the study design, collection, analysis, interpretation of data, the writing of this article, and the decision to submit it for publication”.

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: cable, insulation defect, Markov transition field, transformer networks, multi-head attention mechanism

Citation: Zhao N, Fang Y, Wang S, Li Q, Wang X and Feng C (2026) Correction: Research on the identification method of cable insulation defects based on Markov transition fields and transformer networks. Front. Phys. 13:1653152. doi: 10.3389/fphy.2025.1653152

Received: 24 June 2025; Accepted: 29 August 2025;
Published: 07 January 2026.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2026 Zhao, Fang, Wang, Li, Wang and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ning Zhao, bW9qNjMwMkAxNjMuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.