摘要
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。
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.
出处
《轴承》
北大核心
2018年第2期46-50,共5页
Bearing
基金
国家自然科学基金项目(11572206
11472179
U1534204
11372199)
河北省自然科学基金项目(A2015210005
A2016210099)
关键词
滚动轴承
故障诊断
共振解调
EMD
典型谱峭图
rolling bearing
fault diagnosis
resonance demodulation
EMD
typical kurtogram
