首页 | 官方网站   微博 | 高级检索  
     

电子装备加速实验中的故障预测方法
引用本文:马彦恒,韩九强,李刚.电子装备加速实验中的故障预测方法[J].兵工学报,2008,29(7):834-838.
作者姓名:马彦恒  韩九强  李刚
作者单位:1.西安交通大学,陕西西安710000;2.军械工程学院,河北石家庄050003
基金项目:国家自然科学基金,国防预研基金
摘    要:现代电子装备结构复杂,故障规律难以掌握。而通过对装备组成单元故障规律的研究可推导出装备整体故障规律并进行故障预测。本文着手于对装备组成单元故障规律和故障预测方法的研究。首先利用加速试验来缩短装备组成单元试验时间,获取大量故障规律信息;对加速试验的数据进行了处理;然后基于灰色预测理论,将加速试验中获得的故障规律外推,推测出装备组成单元在正常应力水平下的故障规律并进行故障预测;最后利用相似度和“年老”隶属函数给出了预测结果的可信度。

关 键 词:控制理论      电子装备      故障预测      加速应力寿命试验  

Electronic Equipment Fault Predicting Method Based on Accelerated Stress Lifetime Test
MA Yan-heng,HAN Jiu-qiang,LI Gang.Electronic Equipment Fault Predicting Method Based on Accelerated Stress Lifetime Test[J].Acta Armamentarii,2008,29(7):834-838.
Authors:MA Yan-heng  HAN Jiu-qiang  LI Gang
Affiliation:1. Xi’an Jiaotong University, Xi ’ an 710000,Shaanxi, China; 2. Ordnance Engineering College, Shijiazhuang 050003, Hebei, China
Abstract:It is difficult to grasp the fault regularity of complex structure of modern electronic equip?ment. The whole equipment fault rule can be inferred and predicted from that of units which compose the equipment. The fault rule and prediction method of the units were studied in this paper. It is the realizing steps oi the unit fault prediction method that the unit testing time was shortened by accelerat?ed stress lifetime test to acquire a great deal of fault rule information; the acquired data were pro-cessed ;the fault rule and prediction of the units under normal environment conditions were deduced from the processed data by the grey predicting theory; the confidence of predicted results was given by similarity and membership grade function of “the old aged” .
Keywords:cybernetics    electronic equipment    fault predicting    accelerated stress lifetime test  
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《兵工学报》浏览原始摘要信息
点击此处可从《兵工学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号