文件名称:xiaoboshenjingwangluo
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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 package is adoptted to De-noise and extract band energy that represent bearing
fault. and the BP neural network is adopting to train and recognize faults. Through MATLAB
simulation, After the test validate the method, it can effectively recognize the bearing fault.
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 package is adoptted to De-noise and extract band energy that represent bearing
fault. and the BP neural network is adopting to train and recognize faults. Through MATLAB
simulation, After the test validate the method, it can effectively recognize the bearing fault.
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小波神经网络在双吸式离心水泵轴承故障诊断中的应用_许同乐.pdf