基于人工免疫原理的故障检测模型  

Fault detection model based on artificial immune theory

作　　者：傅龙天[1] 余玉梅[2] 

机构地区：[1]福州外语外贸学院,福建福州350011 [2]福建广播电视大学,福建福州350008

出　　处：《河南科技学院学报（自然科学版）》2017年第3期57-64,共8页Journal of Henan Institute of Science and Technology(Natural Science Edition)

摘　　要：利用人工免疫算法设计了一个机器设备故障检测模型,模型包含故障库和检测模块两部分.首先通过故障库快速地识别已知故障,其次针对未知故障通过本模型的检测模块来诊断识别.实验证明本模型的故障检测率较高,并具备较强的自适应能力.In this paper,a fault detection model of machine and equipment was designed by artificial immune algorithm.The model included two parts：fault library and detection module.Firstly,the known fault was quickly identified by the fault library.Secondly,the identification module was diagnosed by the detection module of the model.Experiments showed that the model had high fault detection rate and strong adaptability.

关 键 词：人工免疫 故障识别 故障定位 

分 类 号：TP277.3[自动化与计算机技术—检测技术与自动化装置]