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 t

用于轴承转轴信号仿真，构建仿真信息，以此基础上添加故障信号，可用于轴承信号分析。(It is used to simulate the signal of bearing rotating shaft and construct the simulation information.)