The features are inputted into BP neural network to diagnose the type of working conditions.The trained network can be used to monitor and diagnos the aluminum reduction cells on line.

 
  • 利用小波包多维多分辨率特性,对铝电解槽电压波动信号进行分解与重构,实现与工作状态干扰因素相关的特征信息的提取,将其作为特征向量输入BP神经网络,对其进行训练。
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