一种基于EMD和典型谱峭图的改进型共振解调方法

摘要

In order to solve the selection of band pass filter bandwidth and center frequency lack of adaptability in traditional resonance demodulation method,an improved resonance demodulation method is proposes based on EMD and typical kurtogram.With the aid of excellent denoising effect of EMD and typical kurtogram method,the method not only self-adaptively optimizes band pass filter parameters,but also improves signal-to-noise ratio,enhancing fault impact signal.The effectiveness of the proposed method in extracting a weak fault feature is verified through analysis of vibration signal of rolling bearings with typical fault.%针对传统共振解调方法中带通滤波器带宽和中心频率的选取缺乏自适应性的问题,提出了一种基于EMD和典型谱峭图的改进型共振解调方法.该方法借助EMD优良的降噪效果,结合典型谱峭图方法,不但可以自适应地优化带通滤波器参数,还可以提高信噪比,增强故障冲击信号.通过对含典型故障的滚动轴承振动信号进行分析,验证了该方法在提取微弱故障特征上的有效性.