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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852843