基于EMD的主轴振动信号去噪方法研究

Research of Denoising Method for Spindle Vibration Signal Based on Empirical Mode Decomposition

主轴的振动信号中包含了大量与主轴运行状态相关的信息,由其合成的轴心轨迹具有很高的研究价值。合理的去噪方法能够得到更加有效的信号成分,有助于对主轴的工作性能做出正确的判断。与传统的去噪方法对比,基于EMD的去噪方法具有较强的自适应性。介绍了EMD去噪的基本原理并将其与传统的小波去噪方法进行对比,结果表明EMD的去噪效果更好。将EMD运用到主轴振动信号的降噪中,得到主轴去噪后的轴心轨迹。

Plenty of information related to the main shaft running state is contained in the spindle vibration signal,and reasonable denoising method can retain more effective signal components. The denoising method based on EM D has strong self-adaptability compared with traditional denoising methods. The basic principle of EM D de-noising is introduced and meanwhile the same vibration signal of spindle is purified by EM D Denoising method and Wavelet denoising method respectively,experimental results showthat EM D Denoising method has great advantages in denoising.