Application of Signal Averaging CEEMDAN and Adaptive Wavelet Threshold Denoising in Signal Processing

Insulators play a vital role in the power system, and their safety and reliability are crucial for power transmission. However, the insulator ultrasonic detection echo signal contains a lot of noise, and a joint denoising method based on signal averaging, CCEMDAN and adaptive wavelet threshold is proposed to solve this problem. In this method, firstly, the preprocessing of the echo signal is used to mean the signal average, the noise is denoised and decomposed by CCEMDAN, the high-frequency components are denoised by the adaptive wavelet threshold, and finally the denoised signal is obtained through signal reconstruction. The experimental results show that the proposed method has a good denoising effect, effectively retains the real information in the echo signal, improves the signal-to-noise ratio of the ultrasonic echo signal, and reduces the mean square error of the echo signal.