Research on Multi-agent System Model of Diesel Engine Fault Diagnosis by Case-Based Reasoning

Authors:
Chunhua Zhao;Xinze Zhao;Zongqi Tan;Xinping Yan
Affiliations:
China Three Gorges University, China;China Three Gorges University, China;China Three Gorges University, China;Wuhan University of Technology, China
Venue:
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Year:
2006

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Abstract

Oil monitoring technology is a useful method in condition monitoring and fault diagnosis for the machine, especially for low-speed, heavy-load, reciprocated and lubricated diesel engine equipment. But it is difficult to implement intelligent diagnosis because monitored information lacks logical relationship in oil monitoring. To solve this problem, the theory and method of case-based reasoning is adopted for the data processing and fault analysis in oil monitoring with an multi-agent system structure. Detailed definitions of agents in the system were proposed, and the multi-agent system framework was established finally. Multi-agent mechanism brings flexible for case based reasoning. It enhances the capability of solving complicated question in new system, and overcomes the shortcoming of the fault knowledge difficult to update in traditional systems.