基于改进耦合增强随机共振的滚动轴承故障诊断

针对强背景噪声下经典随机共振方法对滚动轴承故障特征提取效果差的问题,提出了一种基于改进耦合增强随机共振的滚动轴承故障诊断方法。首先,利用一个定参双稳系统和一个变参双稳系统构成耦合随机共振系统,外部输入直接作用于定参双稳系统;然后,通过调节变参双稳系统参数和耦合系数实现耦合系统的随机共振控制,并借助遗传算法实现控制参数的自适应选取。实验和工程应用验证了所提方法的有效性和优越性。

Rolling Bearing Fault Diagnosis Based on Improved Coupling-enhanced Stochastic Resonance

In view of the problem that the extraction effect of the traditional stochastic resonance (SR) method for rolling bearing fault feature is unsatisfactory under strong background noise, a fault diagnosis method of rolling bearing based on improved coupling-enhanced SR is proposed. First, the coupled SR system is constructed by using a fixed-parameter bistable system forced by an external input signal and a variable-parameter bistable system. Second, the SR control of coupled system is realized by adjusting the system parameter and coupling coefficient. And the genetic algorithm is used to realize the adaptive selection of the control parameters. Finally, experiments and engineering application are performed to verify the effectiveness and superiority of the proposed method in the rolling bearing fault diagnosis.