局部放电小波变换和经验模态分解去噪对比研究

Comparative Study of Wavelet Transform and Empirical Mode Decomposition for Noise Reduction of Partial Discharge

局部放电检测是评估电力设备绝缘状态的有效方法。针对实际局部放电检测中的白噪声抑制问题,分别对离散小波变换和经验模态分解在不同条件下的去噪效果进行了对比研究。结果表明:对于非振荡型局部放电脉冲,离散小波变换去噪效果更好,而经验模态分解对振荡型局放脉冲白噪声具有较好的抑制效果。

Partial discharge detection is an effective method to evaluate the insulation status of electrical equipment. In view of the problem of white noise suppression in actual partial discharge detection, the denoising effects of discrete wavelet transform and empirical mode decomposition under different conditions were compared. The results show that the discrete wavelet transform has better denoising effect on the non-oscillating partial discharge pulses, and the empirical mode decomposition has better suppression effect on the white noise of the oscillating partial discharge pulse.