Insulator Contamination Perception Based on Feature Fusion of Infrared Image and Meteorological Parameters
- 1School of Electrical Engineering and Automation, Wuhan University, Wuhan, China
- 2School of Computer and Artificial Intelligence, Wuhan Textile University, Wuhan, China
- 3New Energy (Photovoltaic) Industry Research Center, Qinghai University, Xining, China
A Corrigendum on
Insulator Contamination Perception Based on Feature Fusion of Infrared Image and Meteorological Parameters
by Wang, H., Wang, B., Li M., Luo, P., Ma, H., and Ma, F. (2021). Front. Energy Res. 9:746378. doi: 10.3389/fenrg.2021.746378
In the original article, there was an error. In the description of Eq. 4, the last part of the sentence that reads “which equals to 1,000 in the VGG-16 and 5 in the feature fusion network proposed.” should be removed.
In addition, there was also an error in section 4 Experimental Setups, 4.2 Training Phase. The final sentence was incorrectly written as “where L represents the loss; pi is the probability from softmax, ppi represents the label of the input, which is the real class of the input data; n is the number of samples, which equals to 1,000 in the VGG-16 and 5 in the feature fusion network proposed.” The sentence should read as follows: “where L represents the loss; pi is the probability from softmax, p∗i represents the label of the input, which is the real class of the input data; n is the number of samples.”
Finally, there was also an error in the Funding statement. The original statement was incorrectly written as “This paper is supported by the National Natural Science Foundation of China (Grant No.51777142,51907096)”. The statement should read as follows: “This paper is supported by the State Grid Headquarters Technology Project (Grant No.5400-202119145A-0-0-00)”.
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.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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: insulator, contamination perception, feature fusion, infrared image, meteorological parameters
Citation: Wang H, Wang B, Li M, Luo P, Ma H and Ma F (2021) Corrigendum: Insulator Contamination Perception Based on Feature Fusion of Infrared Image and Meteorological Parameters. Front. Energy Res. 9:773322. doi: 10.3389/fenrg.2021.773322
Received: 09 September 2021; Accepted: 17 September 2021;
Published: 18 October 2021.
Edited and reviewed by:
Xun Shen, Tokyo University of Agriculture and Technology, JapanCopyright © 2021 Wang, Wang, Li, Luo, Ma and Ma. 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: Bo Wang, whwdwb@whu.edu.cn