基于神经网络的火电厂脱硫系统设备状态分析专家系统

State Analysis Expert System of Smoke Desulfurization Equipment in Power Plant Based on Neural Network

利用神经网络专家系统的主要特征与优势,建立了脱硫设备神经网络专家系统,以辅助分析该控制系统中重要设备的运行状态,以此为依据指导控制。

This thesis summarized about the main character and merit of the neural network expert system. To analysis the operation state of main equipments, this paper established a neural network expert system for smoke desulfurization system of power plant. The results from this system can offer guidance to practical control.