压缩感知在滚动轴承振动信号降噪中的应用

刘畅; 伍星; 毛剑琳; 柳小勤

doi:10.13433/j.cnki.1003-8728.2016.0206

压缩感知在滚动轴承振动信号降噪中的应用

doi: 10.13433/j.cnki.1003-8728.2016.0206

1.
昆明理工大学机电工程学院, 昆明 650093

基金项目:

国家自然科学基金项目(51265018)与云南省教育厅科学研究基金项目(2013Y311)资助

详细信息

作者简介:
刘畅(1979-),工程师,博士研究生,研究方向为机械设备状态监测与故障诊断技术、智能诊断、压缩感知,lxl3385@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2014-04-15
- 刊出日期: 2016-02-05

Application of Compressed Sensing in Rolling Bearing Signal De-noising

1.
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650093, China

摘要

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。
- 压缩感知 /
- 滚动轴承 /
- 信号降噪 /
- OMP
Abstract: 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.
- compressive sensing /
- DCT /
- OMP /
- rolling bearing

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参考文献(15)

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