The Software Design of Intelligent Diagnosis System for Partial Discharge Fault of GIS
Authors
Jianwei Shen, Weimin Su, Xiaorong Lv, Xiaoxia Huang
Corresponding Author
Jianwei Shen
Available Online May 2014.
- DOI
- 10.2991/iccia.2012.367How to use a DOI?
- Keywords
- Gas insulated switchgear, Partial discharge, Pattern Recognition, Neural network
- Abstract
The correct identification of GIS partial discharge type is essential for assessing the insulation status of GIS and developing a reasonable maintenance strategy. After the analysis of the intelligent diagnosis system design, the software architecture of host and remote computer is given by this article. Site host computer completes the data preprocessing and the remote host computer completes the function of real-time observation, data storage and inquiry, spectrum analysis and pattern recognition. The test shows that the software can complete the intelligent recognition of partial discharge.
- Copyright
- © 2013, 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 - Jianwei Shen AU - Weimin Su AU - Xiaorong Lv AU - Xiaoxia Huang PY - 2014/05 DA - 2014/05 TI - The Software Design of Intelligent Diagnosis System for Partial Discharge Fault of GIS BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1480 EP - 1484 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.367 DO - 10.2991/iccia.2012.367 ID - Shen2014/05 ER -