基于人工免疫系统的智能故障诊断研究

Research on Intelligent Fault Diagnosis Based on Artificial Immune System

随着设备和系统的日益复杂化和智能化,传统的故障诊断技术难以满足复杂系统的故障诊断要求,因此以智能信息处理技术为核心的智能故障诊断技术得到越来越多的重视和应用;借鉴免疫机理介绍了故障诊断的一般思路,结合人工免疫网络的自适应"学习"和"进化"理论给出了故障诊断模型,重点介绍了阴性选择算法的原理、特点、实现及改进,并以飞机操作故障诊断检测系统为例进行了算法验证,最后对未来的主要发展方向进行了探讨。

With the gradual complication and intelligent of the equipment and system,traditional fault diagnosis technology can no longer meet the requirements of diagnosing fault complex system.Hence,the intelligent fault diagnosis technology based on intelligent information processing technology has got more and more attention and application.The mechanisms of immune system is used for reference to introduce the general idea of fault diagnosis in this paper.Then it presents the fault diagnosis model combined with the adaptive learning and evolution theory of artificial immune nets.This paper emphatically introduces the principle,features,achievement and improvement of negative selection algorithms and the application example in fault diagnosis is also presented.Finally,it discusses the main research directions in the future.