Experiments analysis show that the roller bearings vibration signal with normal, inner rings defect and outer rings defect are identified effectively.
试验和理论分析表明，利用该方法可以有效地将正常轴承和内滚道伤轴承、外滚道伤轴承的振动信号进行分离。
The BP neural network is used to fit data, through which quantitative analysis of defect signal can be obtained.
采用了BP神经网络对数据进行拟合，能够实现对裂纹信号的定量识别。
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