摘要
随着系统设备和功能的日益复杂化,各种故障现象成因越来越复杂,现有固定的诊断推理模型却难以满足复杂系统诊断面临的全部要求。针对故障诊断系统难以适应动态变化环境的缺点,该文以励磁设备的在线故障诊断为背景,研究故障识别的症兆与诊断决策置信度之间的机制,借鉴生命体的相似性原理与免疫应答的调节理论构造诊断模型重构控制的细胞免疫型结构模型,研究免疫型诊断模型的选择激励与重构动力,提高诊断系统确诊率,设计基于免疫原理的多Agent故障诊断系统,为复杂的电气设备诊断开发提供便捷的工具。
In the dynamic and changeable environment, intelligence fault diagnosis system can no longer meet the demand for diagnosing fault by using the existing normal and fix reasoning model. Taking the project of online fault diagnosis system for excitation equipment as background, this paper studies the mechanism between the fault symptom and the degree of diagnosis decision - making believability. Enlightened by life - being similitude theory and immune response regulation theory, the paper puts forward a mathematical model of re - engineering fault diagnosis multi - agent controlled by a cell - immunity agent re - engineering controller; Working on prompting selection and reconfiguration motivity of the immune diagnosis model to improve diagnosis precision. We are planning to scheme out the multi - agent fault diagnosis system based on immune theory in order to provide convenient diagnosis tools for complex electric equipment.
出处
《计算机仿真》
CSCD
2006年第9期153-156,201,共5页
Computer Simulation
关键词
免疫原理
决策置信度
重构
故障诊断
Immune theory
Decision - making believability
Reconfiguration
Fault diagnosis
