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基于概率符号定向图的故障诊断方法的研究
引用本文:周丽丽,孙晶,王涛. 基于概率符号定向图的故障诊断方法的研究[J]. 自动化技术与应用, 2014, 33(9): 68-71
作者姓名:周丽丽  孙晶  王涛
作者单位:黑龙江省科学院自动化研究所,黑龙江哈尔滨,150001
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。

关 键 词:SDG算法  概率符号有向图  故障诊断

Research on Petrochemical Safety Fault Diagnosis Method Based on PSDG Model
ZHOU Li-li,SUN Jing,WANG Tao. Research on Petrochemical Safety Fault Diagnosis Method Based on PSDG Model[J]. Techniques of Automation and Applications, 2014, 33(9): 68-71
Authors:ZHOU Li-li  SUN Jing  WANG Tao
Affiliation:( Institute of Automation, Heilongjiang Academy of Sciences, Harbin 150090 China )
Abstract: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.
Keywords:SDG algorithm  probability signed directed graph  fault diagnosis
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