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Fault diagnosis model for coking system based on multi-agent

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4 Author(s)
Yi'nan Guo ; College of Information and Electrical Engineering, China University of Mining and Technology ; Dunwei Gong ; Jian Cheng ; Xijin Guo

Aiming at the requirement on complexity, security and timeliness for fault diagnosis of coking process, the multi-agent fault diagnosis model for coking system was proposed by the hiberarchy analysis on coking system fault. Fuzzy relationship matrix knowledge model, learning mechanism based on genetic algorithm and fuzzy diagnosis reasoning process were discussed as an example of coking heating system fault diagnosis. It was validated through actual data that the model can diagnose fault efficiently and exactly and it can fulfill the requirement of production.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:2 )

Date of Conference:

15-19 June 2004

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