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针对动不平衡信号周期性强且伴随有强烈的背景噪声,提出一种基于小波细节系数自相关性分析的分层阈值降噪法,该方法对信号进行离散小波变换,将信号分解为近似系数和细节系数,求出各层细节系数的自相关序列,根据序列是否呈白噪声自相关特性确定该层阈值。通过模拟的方法对含噪振动信号进行了试验,结果表明该方法具有较好的降噪效果。最后,对基于自相关序列分析的分层阈值降噪法在轮胎动平衡测试系统的实际应用进行了研究。实际应用表明,该方法适合动平衡测量,满足高精度要求。
Aiming at the strong periodicity of dynamic unbalanced signals and the strong background noise associated with them, a delamination threshold de-noising method is proposed based on the analysis of the autocorrelation coefficients of wavelet detail coefficients. This method decomposes the signals into approximate coefficients And the detail coefficients, the autocorrelation sequence of the detail coefficients of each layer is obtained, and the threshold of the layer is determined according to whether the sequence has the white noise autocorrelation property. The noise-induced vibration signal was tested by the simulation method. The results show that this method has a good noise reduction effect. Finally, the application of hierarchical threshold denoising based on autocorrelation sequence analysis in tire dynamic balance test system is studied. Practical application shows that the method is suitable for dynamic balance measurement to meet the high precision requirements.