基于蒸汽干度的油田注汽锅炉过热爆管故障诊断方法  

A Fault Diagnosis Method of Superheat Squib of Steam-injection Boiler Based on Dryness Fraction

作　　者：张莉莉[1] 陈保东[1] 晏永飞[1] 罗凯[1] 庞世强[1] 

机构地区：[1]辽宁石油化工大学,辽宁抚顺113001

出　　处：《当代化工》2011年第11期1146-1148,1151,共4页Contemporary Chemical Industry

摘　　要：在利用小波变换分析注汽锅炉蒸汽干度波动的基础上,将神经网络和专家系统集成应用于注汽锅炉运行的故障诊断,介绍了诊断系统的结构、学习算法和诊断步骤,提出了油田注汽锅炉的智能故障诊断方法。仿真结果证明了该方法的准确率与可靠性。Based on using wavelet transform to analyze the fluctuation of dryness fraction of the steam-injection boiler,the neural network and the expert system were applied in the fault diagnosis of the steam-injection boiler.The structure,the learning algorithm and the diagnosis steps of diagnosis system were introduced.The intelligent fault diagnosis method of steam-injection boiler was put forward.The simulation results prove that the method is accuracy and reliability.

关 键 词：注汽锅炉 故障诊断 蒸汽干度 神经网络 专家系统 小波分析 

分 类 号：TE44[石油与天然气工程—油气田开发工程]