Health Assessment of an Oil Transformer using Artificial Neural Network |
Author(s): |
| Trivedi Jay Jayesh , GEC Bhuj; Dr. Bhavik Suthar, GEC BHUJ |
Keywords: |
| Rogers Ratio, Artificial Neural Network, Dissolved Gas Analysis |
Abstract |
|
Transformers are widely used equipment in power system. Reliability is one of the major requirements of today's power system. Any fault in power transformer will lead to serious problem and continuity of power supply is affected. In order to avoid catastrophic failure and reduce outage rates fault detection in its initial stage is required. Incipient faults lead to thermal and electrical stresses on transformer leading to decomposition of oil and insulation. This decomposition will generate gases due to decomposition. Thus based on this gas concentration a Dissolved gas Analysis (DGA) is used. In this paper various DGA techniques are reviewed. Then an ANN approach is applied to these conventional methods. After applying ANN approach to conventional methods accuracy was compared to conventional methods namely Rogers’s ratio and Dornenberg methods. |
Other Details |
|
Paper ID: IJSRDV6I30570 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 1081-1084 |
Article Preview |
|
|
|
|
