滚动轴承故障诊断研究

Research of Fault Diagnosis in Rolling Bearing

滚动轴承是机械工业的重要零部件,其好坏直接影响到机器最高性能的发挥,轴承在工作中承受冲击载荷与摩擦,内部结构易损坏失效,但轻微的故障极不容易发现.构建了一个故障诊断测试系统,利用MATLAB软件编程处理数据结合时域频域分析方法,最后应用BP神经网络进行模式识别故障诊断研究.

Rolling bearing is an important part in engineering industry which is known as the foundation of industry. Bearing quality directly affects the maximum performance of the machine. When it works,the internal structure easily becomes invalidated under the impact load and friction. However,it is not easy to find a slight fault. This paper builds a fault diagnosis system which can do fault diagnosis of pattern recognition research by using MATLAB software programming process data combined with time domain and frequency domain analysis method as well as by using the BP neural network.