基于神经网络的滚动轴承故障包络信号的自动识别方法

介绍了一种基于神经网络的滚动轴承故障包络信号的自动识别方法。将从包络信号的时域和频域信息中提取的反映滚动轴承故障的特征信息作为BP神经网络的输入,用BP算法对该网络进行训练。利用BP神经网络的智能性来实现滚动轴承故障的智能诊断。

The Automatic Recognition Method Based on BP Neural Network for Envelope Signals of Rolling Bearing Faults

An automatic recognition method based on the BP neural network for the envelope signal of the rolling bearing is presented. The feature parameters which represent operating state of the rolling bearing are extracted from the time/frequency domain of the envelope signals, and then input to the BP neural network to train the network with BP algorithm. The intelligent diagnosis to rolling bearing faults can be realized by the intellectual ability of BP neural network.