基于快速kurtogram算法的共振解调方法在滚动轴承故障特征提取中的应用  

Application of resonance demodulation in rolling bearing fault feature extraction based on fast computation of kurtogram

作　　者：王宏超[1] 陈进[1] 董广明[1] 从飞云[1] 

机构地区：[1]上海交通大学机械系统与振动国家重点实验室,上海200240

出　　处：《振动与冲击》2013年第1期35-37,48,共4页Journal of Vibration and Shock

基　　金：国家自然科学基金重点项目(51035007)

摘　　要：共振解调方法是滚动轴承故障特征提取和故障诊断中最为常用的一种方法。然而传统的共振解调技术存在带通滤波参数(中心频率和滤波带宽)需要人工进行预先确定,其具有很大的偶然性、局限性等缺陷。本文将快速Kurtogram算法用于共振解调技术带通滤波器参数的确定中,并结合共振解调技术成功运用于滚动轴承的故障特征提取,弥补了传统共振解调方法需要人工干预进行带通滤波参数确定的不足,并分别进行仿真和实验来验证该方法的有效性。The resonance demodulation is an important method in rolling bearing fault feature extraction and fault diagnosis. But the traditional resonance demodulation method needs to select proper parameters of a band-pass filter（center- frequency and band-width）, it has many shortcomings, such as, uncertainty and limitation. Here, the fast computation of a kurtogram was used to choose parameters of a band-pass filter, and it was combined with the resonance demodulation and used for rolling bearing fault feature extraction. It was shown that the method is superior to the traditional resonance demodulation method. Finally, simulation and test results verified the effectiveness of the proposed method.

关 键 词：共振解调技术 故障特征提取 滚动轴承 解调方法 M算法 带通滤波器 应用 滤波参数 

分 类 号：TN915[电子电信—通信与信息系统]