Journal Paper

Paper Title - Condition Assessment Of Transformer Using ANFIS Method Based On Dissolved Gas Analysis


Abstract
In This Paper; Assessment of Health of Transformer Is Done With the Help of DGA Using Adaptive Neuro Fuzzy Inference System. Transformer is a key element of power system and its prevention from incipient faults is critical. As We Know That DGA is The Most Effective Tool for Transformer’s Fault Diagnosis. It is very reliable and user friendly technique. By making use of ANFIS Based on DGA makes it superior than all other conventional and non-conventional methods. Here, ANFIS model has been developed with the help of MATLAB successfully and has been tested for different reported data. Keywords— Dissolved Gas Analysis (DGA), Power Transformer, Fault Diagnosis, interpretation, adaptive neuro fuzzy inference system (ANFIS), Artificial Intelligence.


Author - Priyam Kumari, Jagdeep Singh, Kulraj Kaur

Citation - Priyam Kumari   ,   Jagdeep Singh   ,   Kulraj Kaur   ,   Priyam Kumari, Jagdeep Singh, Kulraj Kaur " Condition Assessment Of Transformer Using ANFIS Method Based On Dissolved Gas Analysis " , International Journal of Industrial Electronics and Electrical Engineering , Volume-4,Issue-7  ( Jul, 2016 )

Indexed - Google Scholar


| PDF |
Viewed - 0
| Published on 2016-08-12