Partial Discharge Signal Obtain Based on Adaptive Wavelet with Mathematical Morphology

Abstract A new method to denoise partial discharge signal is presented in this paper. It is based on the adaptive wavelet transform combining with mathematical morphology method to eliminate the noise of partial discharge, and use self-adaptive method to select the threshold coefficient. Wavelet transform threshold and wavelet transform modular maximum have compared with this method. The testing results prove that this method can efficiently eliminate the noise existing in partial discharge signal and the characteristics of the original signal can be well retained.