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基于蒸汽干度的油田注汽锅炉过热爆管故障诊断方法
引用本文:张莉莉,陈保东,晏永飞,罗凯,庞世强.基于蒸汽干度的油田注汽锅炉过热爆管故障诊断方法[J].当代化工,2011,40(11):1146-1148,1151.
作者姓名:张莉莉  陈保东  晏永飞  罗凯  庞世强
作者单位:辽宁石油化工大学,辽宁抚顺,113001
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.

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

A Fault Diagnosis Method of Superheat Squib of Steam-injection Boiler Based on Dryness Fraction
ZHANG Li-li,CHEN Bao-dong,YAN Yong-fei,LUO Kai,PANG Shi-qiang.A Fault Diagnosis Method of Superheat Squib of Steam-injection Boiler Based on Dryness Fraction[J].Contemporary Chemical Industry,2011,40(11):1146-1148,1151.
Authors:ZHANG Li-li  CHEN Bao-dong  YAN Yong-fei  LUO Kai  PANG Shi-qiang
Affiliation:ZHANG Li-li,CHEN Bao-dong,YAN Yong-fei,LUO Kai,PANG Shi-qiang(Liaoning Shihua University,Liaoning Fushun 113001,China)
Abstract: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.
Keywords:Steam-injection boiler  Fault diagnosis  Dryness fraction  Neural network  Expert system  Wavelet analysis  
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