基于灰色关联度的形态滤波及滚动轴承故障诊断中应用

摘要

A new method for selecting the structural element scale in morphological filter by using the maximum grey relational degree criterion was presented.In the method,the morphological filtering of signals was made by virtue of adopting several structural elements of different scales,the grey relational degrees of the filtered signals and the original signal were calculated to evaluate the quality of morphological filtering,and then the feature information was achieved according to the most appropriate structural element scale determined by the maximum grey relational degree principle. The implementation process of the method was analyzed by means of signal simulations,and the method was successfully applied to rolling bearing fault diagnosis.The experimental results show that the method can effectively extract the fault feature information of rolling bearing in fault diagnosis.%针对形态滤波中结构元素尺度难以确定问题，提出利用灰色关联度最大准则选择结构元素尺度进行形态滤波新方法。以不同尺度结构元素对信号进行形态滤波，计算滤波后信号与原信号灰色关联度，借助灰色关联度评价形态滤波质量，以灰色关联度最大原则确定形态滤波所需结构元素尺度，获得特征信息。利用信号仿真分析实施过程，并用于滚动轴承故障诊断。实验结果表明，该方法能有效提取滚动轴承故障特征信息，实现故障诊断。