| Title |
Development of the Preventive Diagnosis Algorithm on the Partial Discharges Using Current and Ultrasonic Sensors |
| Authors |
Man-Gil Jeong ; Tae-Yun Hong ; Jae-Youn Park ; Don-Ha Hwang ; Sang-Bo Han |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2016.30.6.058 |
| Keywords |
Current ; Diagnosis Algorithm ; Partial Discharge ; Ultrasonic Sensor ; Wavelet Transform |
| Abstract |
In this paper, the development of a novel diagnosis algorithm for partial discharges in electric power apparatus was carried out by current and ultrasonic sensors. 6 models for simulating partial discharge in electric power apparatus were used. It was classified into the training and test procedures, and PCA in dimension reduction and kNN classifier were used for the exact decision on partial discharge faults. The cD3 coefficients through wavelet transform in the feature extraction was best matched with the characteristics of partial discharges. The final results of the developed diagnosis algorithm showed the very high accuracy on each partial discharge faults. |