装备系统智能化故障预测方法  

Intelligent Fault Prediction Method for Equipment System

作　　者：方冰[1] 张翠侠[1] FANG Bing;ZHANG Cuixia(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第二十八研究所

出　　处：《指挥信息系统与技术》2019年第6期90-95,共6页Command Information System and Technology

基　　金：火箭军“十三五”装备预研课题(304070302)资助项目

摘　　要：随着军队现代化程度进一步提高,装备的故障诊断问题日益凸显,传统的维护保障手段和模式已无法适应未来信息化战争的需求。结合装备保障实际需求,从提高装备故障预测精确性角度,提出了基于规则驱动和基于数据驱动2种智能化故障预测方法。介绍了2种方法的基本原理及优缺点,并分别以装备系统为例给出了案例说明,以期为未来信息化条件下装备系统故障预测提供新思路。With the further improvement of army modernization,the problem of equipment fault diagnosis is becoming more and more prominent.Traditional maintenance safeguard methods and models have been difficult to meet the requirements of future information warfare.According to the actual demand of equipment support,two intelligent fault prediction methods based on rule driven and data driven are proposed from the angle of improving the equipment support prediction accuracy.The basic principles,advantages and disadvantages of two intelligent fault prediction methods are introduced.The example of equipment system is given.The research can provide new ideas for future equipment information system fault prediction.

关 键 词：知识图谱 深度学习 故障预测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]