摘要
文章基于神经网络理论 ,提出了可以对电站锅炉污染受热面诊断的方法。根据额定工况下不同受热面进出口烟温差 ,建立了基于BP网络的污染诊断模型。此模型可以有效地诊断无法由常规测量仪表监测的锅炉污染情况 。
The paper proposes a diagnosis method of power plant boiler contamination surfaces by neuronal network theory.A contamination diagnosis model is built according to the difference of inlet and outlet gas temperatures of different surfaces in normal condition.It can effectively diagnosis the boiler contamination conditions which cannot done by normal measurement instruments.It can be the theoretical reliament of effective boiler ash removal scheme.
出处
《河北电力技术》
2002年第3期36-38,共3页
Hebei Electric Power
关键词
BP神经网络
电站
锅炉
污染诊断
power plant boilers
contamination diagnosis
BP Neuronal Network
