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提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征相应轴承故障的频带能量,并采用BP神经网络进行训练和故障识别,通过MATLAB进行了仿真,经试验验证该方法能够有效地识别出轴承故障。
The wavelet packet method is used to denoise and extract the energy of the vibration signal of the double-suction centrifugal pump bearing. The BP neural network is used for training and fault identification. The simulation is carried out by MATLAB. This method can effectively identify bearing failure.