压缩感知在滚动轴承振动信号降噪中的应用
Application of Compressed Sensing in Rolling Bearing Signal De-noising

针对滚动轴承振动信号降噪的问题,研究压缩感知在滚动轴承信号降噪中的应用。分析滚动轴承振动信号的DCT变换系数值分布的特点,提出能够自适应信号类型的重构停止阈值计算方法,使用OMP进行信号重构的同时实现降噪。与传统小波阈值降噪方法进行实验对比分析,结果表明:使用的方法在降噪效果上与小波双曲阈值方法接近,优于小波软阈值方法,且处理的数据量远小于小波方法。
A de-noising method based on compressed sensing is proposed for rolling bearing signal with noise. This method can adaptively select the threshold according to the distribution of DCT (Discrete Cosine Transform) transform coefficients. The signal is reconstructed using the modified OMP (Orthogonal Matching Pursuit) by threshold to realize de-noising. Experimental results and their analysis show preliminarily that:in comparison with the wavelet methods, this method is close to hyperbolic threshold methods, and better than soft threshold methods, while the amount of data and the processing is much smaller than the wavelet methods