基于SVM专家系统的航空装备故障诊断研究  

Research on Fault Diagnosis of Aviation Equipment Based on SVM Expert System

作　　者：郭丽 张娟 GUO Li;ZHANG Juan(Jiangsu Jinling Machinery Manufacturing General Factory,Nanjing Jiangsu 211100)

机构地区：[1]江苏金陵机械制造总厂,江苏南京211100

出　　处：《长沙航空职业技术学院学报》2022年第3期1-5,共5页Journal of Changsha Aeronautical Vocational and Technical College

基　　金：2020年湖南省飞机维修工程技术研究中心开放基金资助项目“装备修理故障智能诊断理论及方法研究”(编号:FJWX202007)阶段性研究成果。

摘　　要：针对航空装备修理故障种类多,样本数量少、不均衡等特点,以某型飞机频综器单元为研究对象,提出了基于规则和支持向量机(SVM)的专家系统推理机构建方法,实现了对频综器单元电路板级故障的自动诊断。实测数据样本验证以及实验仿真结果表明,该专家系统故障诊断准确率超过90%。Aiming at the characteristics of aviation equipment repair fault samples,including large variety,few quantities,imbalance and so on,it takes a certain aircraft frequency synthesizer unit as the research object and proposes a method for making reasoning mechanism of expert system based on rules and support vector machine(SVM),which realizes board-level automatic fault diagnosis of frequency synthesizer unit.The experimental data sample verification and simulation results show that the fault diagnosis accuracy of the expert system is over 90%.

关 键 词：SVM 专家系统 故障诊断 频综器单元 

分 类 号：V241[航空宇航科学与技术—飞行器设计]