压缩感知在滚动轴承振动信号降噪中的应用

发布时间：2018-06-14 21:37

本文选题：压缩感知 + 滚动轴承　；参考：《机械科学与技术》2016年02期

【摘要】：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。
[Abstract]:Aiming at the problem of rolling bearing vibration signal de-noising, the application of compression sensing in rolling bearing signal de-noising is studied. This paper analyzes the characteristics of DCT transform coefficient distribution of rolling bearing vibration signal, and puts forward a method to calculate the stop threshold of reconstruction, which can adapt to the type of signal. OMP is used for signal reconstruction and noise reduction. Compared with the traditional wavelet threshold denoising method, the experimental results show that the proposed method is similar to the wavelet hyperbolic threshold method in denoising effect and is superior to the wavelet soft threshold method, and the amount of data processed is much smaller than that of the wavelet method.
【作者单位】：昆明理工大学机电工程学院;
【基金】：国家自然科学基金项目(51265018) 云南省教育厅科学研究基金项目(2013Y311)资助
【分类号】：TH133.3

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