CORRECTION article
Front. Phys.
Sec. Physical Acoustics and Ultrasonics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1653145
Correction: A cable insulation defect classification method based on CNN-transformer
Provisionally accepted
- 1Other, China, China
- 2State Grid Shijiazhuang Electric Power Supply Company, Shijiazhuang, Hebei, China
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Correction: A cable insulation defect classification method based on CNN-transformerName of all authors as they appear in the published original article (INSERT ONLY IF correcting author names or adding authors. Insert the correct version of the author list)Affiliations of all authors as they appear in the published original version of the article (INSERT ONLY IF correcting affiliation(s) or adding affiliation(s). Insert the correct version of the affiliation(s))* Correspondence: moj6302@163.comKeywords: cable, insulation defect, ultrasonic reflection, defect recognition, CNN-transformerCorrection on: Zhao N, Duan Z, Li Q, et al. A cable insulation defect classification method based on CNN-transformer[J]. Frontiers in Physics, 2024, 12: 1432527.Incorrect funding Grant number incorrectAn incorrect number was provided for State Grid Hebei Electric Power Co., Ltd.. The correct number is KJ2022-006.The original version of this article has been updated.Conflict of interest statementThe conflict of interest statement was erroneously given as Authors NZ, ZD, QL, KG, ZZ, and BL 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. KJ2022-016). 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 correct conflict of interest statement is Authors NZ, ZD, QL, KG, ZZ, and BL 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 version of this article has been updated.
Keywords: Cable, Insulation defect, Ultrasonic reflection, Defect recognition, cnn-transformer
Received: 24 Jun 2025; Accepted: 29 Aug 2025.
Copyright: © 2025 Zhao, Duan, Li, Guo, Zhang and Liu. 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) or licensor 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, Other, China, China
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