System description and Petri nets model for reconfiguration of fault diagnosis multi-immune agent

To adapt a model in reconfiguring fault diagnosing to dynamic environment and the needs of solving the tasks of complex system fully, based on the thought of the structure of diagnostic decision and hierarchy in modeling as well as the analysis of the reconfiguring mode, reconfiguring hierarchy and reconfiguring process. As the fundamental unit of reconfiguring diagnostic system, a new concept, reconfiguring intelligent fault diagnostic agent component group introduced is utilized to realize diagnostic system reconfiguration. Character for diagnosed questions and similarity between them are analyzed. An evaluating way for the intelligent multi-agent diagnostic system with concepts from decision theory is built. Enlightened by the immune regulation theory in a biotic system, an algorithm for reconfiguring multi-agent diagnosis system is presented based on general process for reconfiguring intelligent fault diagnostic agent. Finally, the cubic hierarchy Petri nets framework structure of reconfiguring multi-agent diagnosis system is researched, a computing algorithm for cubic hierarchy Petri nets is given. This approach can achieve a self-organizing system that is more robust and flexible in dynamic environment and can be self-updated locally.