油田注汽锅炉过热爆管故障智能诊断方法  

An Intelligent Fault Diagnosis Method of Superheat Squib of Oilfield Steam-injection Boiler

作　　者：张莉莉[1] 陈保东[1] 晏永飞[1] 罗凯[1] 孙宪航[1] 

机构地区：[1]辽宁石油化工大学,辽宁抚顺113001

出　　处：《节能技术》2012年第1期48-51,共4页Energy Conservation Technology

摘　　要：本文分析了国内注汽锅炉故障诊断方法,在利用小波变换分析注汽锅炉蒸汽干度的基础上,将径向基神经网络专家系统应用于注汽锅炉过热爆管的故障诊断。文章介绍了诊断系统的结构、学习算法和诊断步骤,提出了一种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。This article analyses the fault diagnosis method of oilfield steam-injection boiler.Using wavelet transform to analyse the dryness fraction,the article applies the RBFNNES to the fault diagnosis of superheat squib of the steam-injection boiler.This article introduced the diagnosis system＇s structure,the learning algorithm and the diagnosis step,and proposed the steam-injection boiler＇s intelligent fault diagnosis method.The simulation results prove the method＇s rate of accuracy and reliability.

关 键 词：注汽锅炉 故障诊断 蒸汽干度 径向基神经网络专家系统 小波分析 

分 类 号：TK229.92[动力工程及工程热物理—动力机械及工程]