Aiming at the shortcomings of traditional hard threshold method and soft threshold method, this paper puts forward a wavelet de-noising method based on wavelet entropy and improved threshold function.Firstly, the noisy partial discharge (PD) signals are processed by wavelet decomposition, and then, the wavelet coefficients are processed by a new improved threshold function using adaptive selection of threshold based on wavelet entropy, finally, the de-noised signal can be obtained by reconstruction.The de-noising results of typical simulation signals and the field signals reveal that this proposed method can effectively remove white noise in partial discharge.%针对传统硬阈值法和软阈值法的缺陷,提出了改进阈值函数的小波熵方法.该方法对含噪局放信号进行小波分解,基于小波熵自适应选取阈值,并引入一种改进阈值函数对小波系数进行处理,最后重构得到去噪后信号.典型仿真信号和实测信号的去噪结果表明,提出的方法能够有效去除局放信号中的白噪声.
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