首页 | 官方网站   微博 | 高级检索  
     

基于状态信息的条件剩余寿命建模研究
引用本文:陈丽,牛晓磊,贾云献,马志军,白永生.基于状态信息的条件剩余寿命建模研究[J].系统工程与电子技术,2008,30(12).
作者姓名:陈丽  牛晓磊  贾云献  马志军  白永生
作者单位:军械工程学院装备指挥与管理系,河北,石家庄,050003
摘    要:根据监测到的设备状态信息预测其条件剩余寿命一直是基于状态维修中的关键问题。利用滤波理论,建立了基于状态信息的剩余寿命预测通用模型,并推导出采用极大似然估计法下参数估计的通式,使得在已知寿命服从其他任何分布形式时直接代入通式便可快速地得出其模型,从而预测其剩余寿命,省去了复杂繁琐的迭代过程。通过案例发现模型能够根据状态信息很好地预测其剩余寿命,并在不断更新状态信息的条件下越来越精确地预测其剩余寿命。

关 键 词:条件剩余寿命  状态信息  建模  滤波理论

Study on conditional residual life modeling based on condition information
CHEN Li,NIU Xiao-lei,JIA YUN-xian,MA Zhi-jun,BAI Yong-sheng.Study on conditional residual life modeling based on condition information[J].System Engineering and Electronics,2008,30(12).
Authors:CHEN Li  NIU Xiao-lei  JIA YUN-xian  MA Zhi-jun  BAI Yong-sheng
Abstract:It is a critical problem to predict the conditional residual life of equipments based on inspected condition information.Based on filtering theory,a residual life predict model is set up according to condition information,and a general formula of parameter estimation is deduced using maximum likelihood estimation,thus,when the life distributing of an equipment is known,the model can be rapidly educed by taking the distribution into the formula is educed,and its residual life can be predicted without complex iterative process is predicted.The calculated result obtained from the case study show that the model can predict the residual life very well based on equipment condition information,and the model can become more and more accuracy to predict the residual life with the condition information updating.
Keywords:conditional residual life  condition information  modeling  filtering theory  
本文献已被 CNKI 万方数据 等数据库收录!
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