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

高东; 吴重光; 张贝克; 马昕

doi:10.1016/S1004-9541(08)60352-3

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

Updated：2026-01-06

- Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry
- Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry
- 中国化学工程学报（英文版） 2010年18卷第2期页码：265-276
- Affiliations：
  
  1. College of Information Science and Technology, Beijing University of Chemical Technology,Beijing,China,100029
  2. SINOPEC Safety Engineering Institute,Qingdao,China,266071
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(08)60352-3
  中图分类号：
- 纸质出版：2010
- Accepted：
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高东, 吴重光, 张贝克, 等. Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry[J]. 中国化学工程学报（英文版）, 2010,18(2):265-276.

GAO Dong, WU Chongguang, ZHANG Beike, MA Xin. Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry[J]. , 2010, 18(2): 265-276.
高东, 吴重光, 张贝克, 等. Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry[J]. 中国化学工程学报（英文版）, 2010,18(2):265-276. DOI： 10.1016/S1004-9541(08)60352-3.

GAO Dong, WU Chongguang, ZHANG Beike, MA Xin. Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry[J]. , 2010, 18(2): 265-276. DOI： 10.1016/S1004-9541(08)60352-3.

摘要

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.

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