- Application of CEEMDAN-Wavelet Soft Threshold Denoising Method in Brake Disc Dynamic Balance Vibration Detection
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- 所属单位：机电工程学院
- 发表刊物：CAA SAFEPROCESS 2023
- 项目来源：省、市、自治区科技项目
- 关键字：balance failure detection, brake disc, ceemdan, wavelet soft thresholding, de-noising.
- 摘要：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.
- 合写作者：郜思洋
- 第一作者：田丽媛
- 论文类型：论文集
- 页面范围：2
- 字数：1
- 是否译文：否
- 发表时间：2023-09-23
