| Title |
A Study on Algorithm Robust to Error for Estimation Partial Discharge Location Using Acoustic Emission Sensors |
| Authors |
Sung-Min Cho ; Hee-Sang Shin ; Jae-Chul Kim ; Yang-Jin Lee ; Kwang-Hwa Kim |
| Keywords |
Partial discharge ; Neural network ; Transformer |
| Abstract |
This paper presents an algorithm robust to error for estimating partial discharge (PD) location using acoustic emission sensors. In operating transformers, the velocity computing of the acoustic signal is difficult because the temperature of the insulation oil is not homogeneous. So, some error occurs in the process. Therefore, the algorithm estimating PD location must consider this error to provide maintenance person with useful information. The conventional algorithm shows the PD position as a point, while the new algorithm using LookUp-Table(LUT) shows PD position as error-map visually. The error-map is more useful than the conventional result because of robustness to error. Also, we compared performance of them, by adding error to data on purpose. |