DocumentCode :
3267897
Title :
Distributed Fault Detection and Diagnosis of Chemical Process Based on MAS
Author :
Sun, Jinggao ; Yang, Xinbin ; Huang, Dao
Author_Institution :
Branch of State Engineering Research Center of Industrial Automation, East China University of Science and Technology, ShangHai, China. E-mail: sjg@aerc.auto.ecust.edu.cn
fYear :
2003
fDate :
12-12 June 2003
Firstpage :
595
Lastpage :
599
Abstract :
Multi-agent technology offers a number of characteristics that make it well suited for distributed process monitoring and fault diagnosis tasks. In this paper we introduce a multi-agent architecture to implement distributed applications for chemical process monitoring and diagnosis as a set of cooperating intelligent agents. The agents appeared in this application are defined in ADL (Agent Description Language), a high-level specification language, and interchange data/knowledge through service requests using a common knowledge representation language. Elements of a multi-agent framework that is being used to support this complex distributed application, and the mechanisms used for agent usability within the chemical process environment are also described.
Keywords :
Chemical process; Distributed diagnosis; Fault detection; Multi-agents; Chemical process; Distributed diagnosis; Fault detection; Multi-agents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2003. ICCA '03. Proceedings. 4th International Conference on
Conference_Location :
Montreal, Que., Canada
Print_ISBN :
0-7803-7777-X
Type :
conf
DOI :
10.1109/ICCA.2003.1595091
Filename :
1595091
Link To Document :
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