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復雜生產過程工況的自動識別

Automatic Recognition of the Operating Mode in Process of Complex Production

  • 摘要: 針對復雜生產過程中的工況識別問題,利用了模塊化的設計方法,將其分為離線建模模塊和在線決策模塊.建模模塊采用自適應延時神經網絡構造各類工況相應的預測模型,決策模塊通過計算未知工況序列相對于各類預測模型的匹配程度判斷其所屬類別.

     

    Abstract: A modular design method to recognize the operahng mode in process of complex production is provided. The enhre recognihon task is divided into two sub-modules; modeling module, trained off-line, and decision module, Performed on-line.In modeling module, the adaphve time-delay neura network is used to construct various predicting models which correspond to different operating modes. In decision module, for a new sequence, which operating mode it belong to is deduced depending on matching degree between this new sequence and all predichng models. The simulation results show the effectiveness of the method.

     

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