SCI和EI收录∣中国化工学会会刊

›› 2010, Vol. 18 ›› Issue (2): 265-276.

• • 上一篇    下一篇

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

高东1, 吴重光2, 张贝克1, 马昕1   

  1. 1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
    2. SINOPEC Safety Engineering Institute, Qingdao 266071, China
  • 收稿日期:2009-07-31 修回日期:2010-02-11 出版日期:2010-04-28 发布日期:2010-04-28
  • 通讯作者: GAO Dong,E-mail:gd4ever123@gmail.com
  • 基金资助:
    Supported by the Science and Technological Tackling Project of Heilongjiang Province(GB06A106)

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

GAO Dong1, WU Chongguang2, ZHANG Beike1, MA Xin1   

  1. 1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
    2. SINOPEC Safety Engineering Institute, Qingdao 266071, China
  • Received:2009-07-31 Revised:2010-02-11 Online:2010-04-28 Published:2010-04-28
  • Supported by:
    Supported by the Science and Technological Tackling Project of Heilongjiang Province(GB06A106)

摘要: In the past 30 years,signed directed graph(SDG), one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

关键词: signed directed graph, qualitative trend analysis, fault diagnosis, bidirectional inference, atmospheric distillation tower unit

Abstract: In the past 30 years,signed directed graph(SDG), one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

Key words: signed directed graph, qualitative trend analysis, fault diagnosis, bidirectional inference, atmospheric distillation tower unit