基于PLC的BP神经网络在轴承故障诊断中的研究与应用

Study on PLC-based BP Neural Network for Fault Diagnosis of Antifriction Bearing

采用基于PLC的BP神经网络方法对滚动轴承进行故障检测,由于BP神经网络的小样本、非线性和自学习特点以及PLC的硬件支持,为高浓磨浆机滚动轴承的故障检测过程提供了可行性的依据。仿真结果表明,此方法具有高精度、可靠性和快速性等优点。

The method of detecting rolling bearing was presented.The BP Neural Network boasting of small sample,nonlinearity and self-learning and PLC support provided a feasible basis for the fault diagnosis of rolling bearing.The simulation results show that the method has high-precision,reliability and rapidity.