基于细胞免疫应答理论重建故障诊断智能体

Reconfiguration of Fault Diagnosis Multi-agent Based on Cell Immune Response Theory

借鉴生物免疫中的独特性网络调节理论,将进化的单一诊断Agent对应为免疫系统中的抗体,诊断系统中多Agent群体适应度增加量作为抗原,并依据生物系统的相似性理论,构造了诊断多智能体的细胞免疫型智能体重构控制的结构模型;提出了一种基于行为Petri网技术的工作流模型重建故障诊断智能体的算法,实现故障诊断系统中的多智能体的群体进化、自组织与突现,并给出Agent重构的非线性动力学解释。

Enlightened by the immune idiotypic network regulation theory and the similarity theory in a biotic system, the paper puts forward a mathematical model of re-engineering fault diagnosis multi-agent controlled by a cell-immunity agent re-engineering controller. This model adopts a multi-agent adapter to solve the problems like interface matching, message handling, state monitoring and fault diagnosis reasoning in fault diagnosis multi-agent re-engineering. According to the model, an algorithm for re-engineering the fault diagnosis multi-agent with a non-linear dynamic interpretation is presented using behavioral Petri-net based on the workflow management.