基于互相关检测的滚动轴承实时故障诊断方法

提出了一种易于用模拟电路实现的基于互相关检测的滚动轴承实时故障诊断方法,首先,用两个加速度传感器在不同测点采集轴承振动信号,将其分别送入相应通道的高Q带通滤波器来选择最优共振带;然后,将两路带通滤波器的输出信号进行互相关检测,将互相关检测得到的信号经低通滤波器,保留低频故障信号;最后,将低通滤波器输出的时域信号通过频谱分析仪显示滚动轴承故障特征频率的谱线以实现滚动轴承的实时故障诊断。用模拟电路的形式将该方法进行搭建,并在QPZZ-II实测平台完成滚动轴承的实时故障诊断。结果表明:该方法克服了单一信号源的局限性,能利用互相关函数削弱共振带内部噪声,使诊断结果具有更高的频谱辨识率,而且能够用结构简单、易于维护的模拟电路实现,对轴承实时故障诊断方法的应用与普及具有一定的参考价值。

A Real-Time Fault Diagnosis Method of Rolling Bearing Based on Cross-Correlation Detection

This paper presents a real-time fault diagnosis method of rolling bearing based on cross-correlation detection, which is easy to be realized by analog circuits. The method uses two acceleration sensors to collect the bearing vibration signals from different points, and sends them into the high Q band pass filter to select the optimum resonance band. Then, it sends the output signal of two band pass filter to cross-correlation detection. After that,the result of cross-correlation detection is filtered by low pass filter, which can keep the low frequency fault signal. Finally, the output signal of low pass filter displayed the fault characteristic frequency of rolling bearing by spectrum analyzer. So far the real-time fault diagnosis of rolling bearing is realized. In this paper, the proposed method is built in the form of analog circuits, and the real-time fault diagnosis of rolling bearing is completed on the QPZZ-II platform, it shows that the method not only overcomes the limitations of a single source, using cross-correlation function weaken resonance with internal noise,so as to make the diagnosis with higher spectral identification rate, but also the method of analog circuit has the advantages of simple structure, easy maintenance, the real-time fault diagnosis of bearing fault method applications and popularity have a certain reference value.