Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

Application of Artificial Intelligence in Power System Fault Diagnosis

Authors
Jing Liu, Wenbo Jiang, Li Miao, Jian Zhang
Corresponding Author
Jing Liu
Available Online January 2018.
DOI
10.2991/macmc-17.2018.28How to use a DOI?
Keywords
Artificial Intelligence, Power System, Fault Diagnosis
Abstract

In the modern society, the economic development of our country is moving rapidly and the material living standards of the people are constantly increasing. As a result, the power resources occupy an increasingly important position in people's daily life. However, because of this, people's daily life In the electricity safety issues are also more and more attention. The power companies in the power system fault diagnosis should also put more effort, the only way to ensure people's daily life of electricity is safe and reliable, based on this background, but also with the continuous progress of artificial intelligence in recent years, as well as in Power system fault diagnosis has a significant role. Therefore, this article analyzes the practical application of artificial intelligence technology in power system fault diagnosis, and explores in all aspects the great impact of artificial intelligence technology on power failure detection.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
978-94-6252-439-2
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.28How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jing Liu
AU  - Wenbo Jiang
AU  - Li Miao
AU  - Jian Zhang
PY  - 2018/01
DA  - 2018/01
TI  - Application of Artificial Intelligence in Power System Fault Diagnosis
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 125
EP  - 128
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.28
DO  - 10.2991/macmc-17.2018.28
ID  - Liu2018/01
ER  -