Removing white noise in partial discharge signal based on wavelet entropy and improved threshold function

Aiming at the shortcomings of traditional hard threshold method and soft threshold method, this paper puts forward a wavelet denoising method based on wavelet entropy and improved threshold function. First, the noisy partial discharge (PD) signals are processed by wavelet decomposition, then the wavelet coefficients are processed by a new improved threshold function using adaptive selection of threshold based on wavelet entropy, finally the denoised signal can be got by reconstruction. The denoising results of typical simulation signals and the field signals reveal that this present method can effectively remove white noise.