| Title |
Development of Diagnostic Algorithm and Expert System to diagnose Power Transformers by the methods of Gas Analysis |
| Authors |
In-Hyuk Choi ; Gil-Jo Jung ; Dong-Jin Kweon ; Myong-Chul Shin |
| Abstract |
This paper describes the new algorithm method for detecting abnormal causes within power transformers. Generally, the gas analysis has been proved the most confident method of many transformer diagnostics. The proposed algorithm is adapted to the international codes of IEC, Dornenburg, Gas Pattern including the KEPCO"s gas analysis method for the improvement of diagnostic efficiency. Specially, this algorithm is programmed by the tool of Element Expert developed Neuron DATA Inc. in USA. Also, it was confirmed that the developed algorithm is proved the confidence by the use of real data in faulty power transformers. |