Application of CEEMDAN-Wavelet Soft Threshold Denoising Method in Brake Disc Dynamic Balance Vibration Detection

A method for detecting brake disc dynamic balance vibration is proposed, which combines Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and wavelet soft threshold denoising. First, the brake disc vibration signal is decomposed using CEEMDAN to obtain multiple intrinsic mode functions (IMFs). Then, the IMFs are subjected to wavelet soft threshold denoising, and highly correlated components are screened out using the Pearson correlation coefficient method and checked with the SNR function. Finally, the selected IMFs are merged to obtain the denoised signal, and the brake disc imbalance is calculated. This method has higher accuracy and precision compared to traditional dynamic balance detection methods, as it effectively eliminates noise interference and improves the signal-to-noise ratio. Experimental results demonstrate the effectiveness of the CEEMDAN-wavelet soft-threshold denoising method in detecting brake disc dynamic balance vibration.