Front. Energy Res. Frontiers in Energy Research Front. Energy Res. 2296-598X Frontiers Media S.A. 1232841 10.3389/fenrg.2023.1232841 Energy Research Correction Corrigendum: Transformer fault diagnosis based on probabilistic neural networks combined with vibration and noise characteristics Zhou et al. 10.3389/fenrg.2023.1232841 Zhou Xiu 1 Luo Yan 1 Tian Tian 1 * Bai Haonan 2 Wu Peng 3 Liu Weifeng 1 1 State Grid Ningxia Electric Power Co., Ltd., Electric Power Research Institute, Yinchuan, China 2 School of Electrical Engineering, Shenyang University of Technology, Shengyang, China 3 Maintenance Company of State Grid Ningxia Electric Power Co., Ltd., Yinchuan, China

Approved by Frontiers Editorial Office, Frontiers Media SA, Switzerland

 *Correspondence: Tian Tian, tiant0531@163.com 27 06 2023 2023 11 1232841 01 06 2023 21 06 2023 Copyright © 2023 Zhou, Luo, Tian, Bai, Wu and Liu. 2023 Zhou, Luo, Tian, Bai, Wu and Liu

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 A Corrigendum on Transformer fault diagnosis based on probabilistic neural networks combined with vibration and noise characteristics by Zhou X, Luo Y, Tian T, Bai H, Wu P and Liu W (2023). Front. Energy Res. 11:1169508. doi: 10.3389/fenrg.2023.1169508 transformer vibration and noise probabilistic neural networks DC bias multi-point grounding short-circuit between silicon steel sheets fault diagnosis section-at-acceptance Smart Grids

In the published article, there was an error in the Funding statement. The sentence “Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (5229DK200051)” is incorrect. The correct sentence appears below.

“Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (5229DK20004N).”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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