基于概率符号定向图的故障诊断方法的研究  

Research on Petrochemical Safety Fault Diagnosis Method Based on PSDG Model

作　　者：周丽丽[1] 孙晶[1] 王涛[1] 

机构地区：[1]黑龙江省科学院自动化研究所,黑龙江哈尔滨150001

出　　处：《自动化技术与应用》2014年第9期68-71,共4页Techniques of Automation and Applications

摘　　要：本文在传统SDG算法中引人节点、支路的概率信息,建立概率符号有向图(PSDG)模型对常减压蒸馏装置进行全面深入的安全评价分析。本文提出的安全分析推理算法,能够提供故障诊断的准确性和分辨率。This article introduces probability information of nodes, branches in traditional SDG algorithm and establishes the probability signed directed graph （PSDG） model to conduct a comprehensive safety evaluation of in-depth analysis for the constant reduce pressure distillation unit. Safety analysis reasoning algorithm is presented in this paper, can provide the accuracy of fault diagnosis and resolution.

关 键 词：SDG算法 概率符号有向图 故障诊断 

分 类 号：TP277.3[自动化与计算机技术—检测技术与自动化装置]