Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

The Application of Artificial Intelligence Technology in the Fault Diagnosis of Assets in Power Grid

Authors
Rongbo Pan1, *, Min Lei1, Mingjie Zhang1, Peifa Shan1, Yaopeng Zhao1, Yangyang Li1
1Qingyuan Power Supply Bureau, China Southern Power Grid Guangdong Power Grid, Qingyuan, 511500, China
*Corresponding author. Email: 752418439@qq.com
Corresponding Author
Rongbo Pan
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_155How to use a DOI?
Keywords
fault diagnosis; artificial intelligence; power grid; machine learning
Abstract

This paper discusses the application of Artificial Intelligence (AI) technology in the fault diagnosis (FD) of the essential assets in power grid, introducing the importance of FD in industry and the development of AI technology in FD of power grid as well as the application of machine learning in this field. Subsequently, it outlines the specific implementation process of machine learning technology in FD of assets in power grid and elaborates on each step, while pointing out the issues that should be taken into consideration at this stage. Finally, a summary and prospect are made, which may help relevant technicians apply AI technology in FD of power grid.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
10.2991/978-94-6463-230-9_155
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_155How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rongbo Pan
AU  - Min Lei
AU  - Mingjie Zhang
AU  - Peifa Shan
AU  - Yaopeng Zhao
AU  - Yangyang Li
PY  - 2023
DA  - 2023/09/04
TI  - The Application of Artificial Intelligence Technology in the Fault Diagnosis of Assets in Power Grid
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 1286
EP  - 1294
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_155
DO  - 10.2991/978-94-6463-230-9_155
ID  - Pan2023
ER  -