On-line Monitoring of Electrical Equipment and Fault Diagnosis Analysis
- 10.2991/icmmct-16.2016.14How to use a DOI?
- On-line monitoring; Fault diagnosis; Potential transformer; BP neural network.
In order to improve the reliability of power system, on-line monitoring and fault diagnosis for electrical equipment is very necessary. In this paper, we research on-line monitoring and fault diagnosis of transformer, building the gas online monitoring system in transformer oil, and improved transformer fault diagnosis -characteristic gas method through the BP neural network. Through gas on-line monitoring of transformer oil, and the example verification, improved diagnosis method is effective for transformer fault diagnosis.
- © 2016, 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 - Jian-wei Zhao PY - 2016/03 DA - 2016/03 TI - On-line Monitoring of Electrical Equipment and Fault Diagnosis Analysis BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 70 EP - 74 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.14 DO - 10.2991/icmmct-16.2016.14 ID - Zhao2016/03 ER -