摘要
基于人工神经网络提出了一种有效的电站锅炉漏风部位诊断的方法。以额定工况下不同受热面出口烟气温度为特征参数 ,建立了神经网络漏风部位诊断模型。此模型可以有效的诊断锅炉漏风情况 。
The paper proposes a new method of diagnosing utility boiler air leakage location based on artificial neural networks, and presents a new diagnosis model using the gas temperature of different heating surfaces as feature parameter. This model can effectively diagnose the air leakage location of utility boiler. The simulation result shows the availability of this method.
出处
《东北电力学院学报》
2001年第3期5-8,共4页
Journal of Northeast China Institute of Electric Power Engineering
