基于人工神经网络的电站锅炉受热面污染部位诊断  

Artificial Neural Networks Based Pollution Location Diagnosis for Heating Surfaces of Utility Boilers

作　　者：王广军[1] 栾秀春 

机构地区：[1]东北电力学院动力工程系,吉林132012

出　　处：《锅炉技术》2000年第11期28-32,共5页Boiler Technology

摘　　要：基于人工神经网络，提出了一种有效的电站锅炉受热面污染部位诊断的方法。以额定工况下不同受热面出口烟温为特征参数，建立了神经网络污染部位诊断模型。此模型可以有效地诊断锅炉受热面污染情况，仿真测试结果表明了这种方法的有效性。The paper proposes a new method of utility boiler pollution location diagnosis on the basis of artificial neural networks, which sets up a neural networks based diagnosis model for pollution location, using the gas temperature of different heating surfaces exits as feature parameter. It is indicated that this model can effectively diagnose the pollution location of heating surfaces of utility boilers by results of simulating test.

关 键 词：神经网络 电站锅炉 受热面污染部位诊断 

分 类 号：TM621.2[电气工程—电力系统及自动化] TK223.3[动力工程及工程热物理—动力机械及工程]