DocumentCode
176726
Title
Hierarchical method of fault diagnosis based on extended SDG
Author
Yingjie Liu ; Gang Xie ; Yunyun Yang ; Zehua Chen ; Qinglong Chai
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
3808
Lastpage
3812
Abstract
Compared with the traditional signed directed graph (SDG) model, the extended SDG model can enlarge the information of edges and nodes, reduce false solution and improve resolution. Therefore, it possesses good information completeness. However, the multi-node information and complex relationships of edges in the model result in a long search time and low efficiency. To solve these problems, a hierarchical method of fault diagnosis based on extended SDG is proposed. According to the qualitative relationship of fault propagation path between nodes, the fault source nodes can be found by backtracking alarm nodes and searching compatible branches. In this paper, the chlorine gas pump of the chemical process is used as an example to carry out modeling and reasoning in fault diagnosis. The results show that this diagnosis algorithm is not only feasible in improving the search efficiency of fault sources, but is also accurate and valuable.
Keywords
chemical engineering; directed graphs; fault diagnosis; pumps; backtracking alarm nodes; chemical process; chlorine gas pump; extended SDG model; fault diagnosis; fault propagation path; fault searching compatible branches; fault source nodes; hierarchical method; multinode information; signed directed graph model; Algorithm design and analysis; Chemical processes; Cognition; Educational institutions; Fault diagnosis; Safety; Security; Extended SDG; Fault Diagnosis; Hierarchical Directed Graph;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852843
Filename
6852843
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