基于符号有向图模型的故障诊断方法.pdf

　第 27 卷 第 5 期 动 　力 　工 　程 Vol. 27 No. 5 　 　2007 年 10 月 Journal of Power Engineering Oct. 2007 　 ( ) 　　文章编号 2007 0573606 基于符号有向图模型的故障诊断方法 王　伟 , 　于达仁 , 　赵　辉 , 　胡清华 ( 哈尔滨工业大学 能源科学与工程学院 ,哈尔滨 150001) ( ) 摘 　要 : 根据变工况的特点分析符号有向图 SDG 模型在变工况环境中的应用问题。某些工业过 程的运行工况频繁变动 ,使得基于单一稳态工况的节点模式失效 ,而其运行参数的正常值却未因工 况变动而变动。给出变工况节点模式参数正常值的数学表达和 SDG 故障诊断方法 ; 以实际算例说 明了变工况环境对故障诊断的影响。 关键词 : 自动控制技术;符号有向图 ;故障诊断 ;变工况过程 中图分类号: TP391 ,TK267 　　　文献标识码 : A Fault Diagno sis Method Based on Sign Directed Graph Models WANG Wei , 　YU Daren , 　ZHAO Hui , 　HU Qinghua ( School of Energy Science Engineering , Harbin University of Technology , Harbin 150001 , China) ( ) Abstract : The application problem of sign directed graph SDG models under varying load conditions of industrial processes is being analyzed according to the processes’particularities. Some industrial processes are subjected to frequent load variations ,and each typical mode of operation has its own stable state ,which also corresponds to a particular node pattern of the SDG model with all the node patterns being different from oneanother. The mathematical expression of under varying load conditions of node patterns ,as well as the SDG way of fault diagnosing ,are given ;where with the processes ’degree of stability under varying load condition can be online ascertained with the help of a stability factor. Taking a deaerator as an example ,the influence of load varying condition on SDG diagnosing is being discussed. Key words : automatic cont