首页 | 本学科首页   官方微博 | 高级检索  
     

一种电子装备故障预测参数选取方法
引用本文:方甲永,肖明清,李斌,胡雷刚.一种电子装备故障预测参数选取方法[J].计算机工程,2011,37(9):279-281.
作者姓名:方甲永  肖明清  李斌  胡雷刚
作者单位:1. 空军工程大学工程学院自动测试系统实验室,西安,710038
2. 空军工程大学工程学院自动测试系统实验室,西安,710038;空军驻江苏地区军事代表室,南京,210016
摘    要:针对电子装备故障预测中的预测参数选取问题,建立电子装备故障预测信息系统,设置故障预测参数选取原则,基于多信号流图模型提取反映电子装备故障状态的预测参数集,利用决策辨识函数对该参数集进行约简,并采用基于相关危险度的统计模型选取出最优故障预测参数集。实例证明该方法可以实现预测参数选取的自动化。

关 键 词:电子装备故障  预测参数选取  相关危险度  多信号流图

Prognostics Parameter Selection Method of Electronic Equipment Fault
FANG Jia-yong,XIAO Ming-qing,LI Bin,HU Lei-gan.Prognostics Parameter Selection Method of Electronic Equipment Fault[J].Computer Engineering,2011,37(9):279-281.
Authors:FANG Jia-yong  XIAO Ming-qing  LI Bin  HU Lei-gan
Affiliation:1(1.Automatic Test System Lab,Engineering College,Air Force Engineering University,Xi’an 710038,China;2.The Military Representatives of Air Force Equipment Dept.in Jiangsu,Nanjing 210016,China)
Abstract:Aiming at difficulty of parameters selection in electronic equipment prognostics,according to basic prognostics parameter selection principles of electronic equipment,it systematically discusses the parameter selection method and step of prognostics.The electronic equipment prognostics information system is built.Prognostics parameter selection principles are proposed.The prognostics parameter sets which can reflect fault states of electronic equipment are extracted by using the multi-signal flow graphs model.Then the parameter sets are reduced by using the novel discernibility function.The optical parameter sets are closed by the static model based on relative risk degree.Example validates that the method can realize the automation forecast parameter selection.
Keywords:electronic equipment fault  prognostics parameter selection  relative risk degree  multi-signal flow graph
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程》浏览原始摘要信息
点击此处可从《计算机工程》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