Title :
Research on immune reconstruction application technology for fault diagnosis
Author_Institution :
Coll. of Comput. & Inf., Chongqing Jiaotong Univ., Chongqing
Abstract :
As a kind of applied systems of AI in fault diagnosis, the intelligent fault diagnosis system has got very good effect in practice, but with the gradual complication of the equipment and function of systems which leads to more complicated and exceptional faults, it is often difficult to study all faultspsila cause real-timely in some complex systems if adopting traditional intelligent reasoning methods. After analyzing on the immune mechanism, some fault diagnosis multi-agents is presented, with characteristics of evolution and reconfiguration, the relation between agents is named as the immune co-evolution and discussed, the basic process about reconstruction on a diagnosis model is also described, and an algorithm is designed to reconstruct diagnosis models, at last the feasibility of this research is initially verified in the test by simulation results.
Keywords :
artificial immune systems; artificial intelligence; fault diagnosis; inference mechanisms; multi-agent systems; artificial intelligence; immune co-evolution; immune reconstruction application technology; intelligent fault diagnosis system; intelligent reasoning methods; multiagents; Algorithm design and analysis; Application software; Artificial intelligence; Automation; Economic indicators; Educational institutions; Fault diagnosis; Intelligent control; Intelligent systems; Phase change materials; agent; fault diagnosis; immune; reconstruction;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593907