FANG ZHENGYUN, LIU HONGWEN, HUANG JISHENG. Study on Peak Denoising of Partial Discharge Signals Based on Wavelet Transform. [J]. Power capacitor & reactive power compensation, 2022, 43(5): 102-108.
DOI:
FANG ZHENGYUN, LIU HONGWEN, HUANG JISHENG. Study on Peak Denoising of Partial Discharge Signals Based on Wavelet Transform. [J]. Power capacitor & reactive power compensation, 2022, 43(5): 102-108. DOI: 10.14044/j.1674-1757.pcrpc.2022.05.015.
Study on Peak Denoising of Partial Discharge Signals Based on Wavelet Transform
The monitoring of partial discharge signals of capacitive insulator sensor is the key to ensure its normal operation. In view of the existence of peak interference of the capacitor insulator sensor during the monitoring process of partial discharge signals
the sinusoidal signal with peak interference is adopted in this paper to simulate the actually measured partial discharge signals and
with this as the object
such disadvantages as low accuracy and phase displacement which is existed in the traditional filtering method are analyzed. Then
in combination with the natural advantage of the wavelet transform in the swell signal detection
the wavelet transform is used to identify and detect the peak interference position and the position of the detection point is subject to smoothing treatment and the peak interference filtering algorithm based on the wavelet transform is obtained. Finally
the peak interference signal which is existed during the the partial discharge detection period of the capacitive insulator is taken as example and the effectiveness of the algorithm is verified. This algorithm