北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (6): 1185-1194.doi: 10.13700/j.bh.1001-5965.2015.0390

• 论文 • 上一篇    下一篇

考虑认知不确定的雷达功率放大系统可靠性评估

潘刚, 尚朝轩, 梁玉英, 蔡金燕, 孟亚峰   

  1. 军械工程学院 电子与光学工程系, 石家庄 050003
  • 收稿日期:2015-06-15 出版日期:2016-06-20 发布日期:2016-07-06
  • 通讯作者: 孟亚峰,Tel.:0311-87994231 E-mail:myfrad@163.com E-mail:myfrad@163.com
  • 作者简介:潘刚 男,博士研究生。主要研究方向:多态系统可靠性评估与维修决策。E-mail:pg02063090@163.com;孟亚峰 男,博士,副教授,硕士生导师。主要研究方向:武器系统性能检测与故障诊断。Tel.:0311-87994231 E-mail:myfrad@163.com
  • 基金资助:
    国家自然科学基金(61372039,61271153)

Reliability evaluation of radar power amplification system considering epistemic uncertainty

PAN Gang, SHANG Chaoxuan, LIANG Yuying, CAI Jinyan, MENG Yafeng   

  1. Department of Electronic and Optic Engineering, Ordnance Engineering College, Shijiazhuang 050003, China
  • Received:2015-06-15 Online:2016-06-20 Published:2016-07-06

摘要: 高可靠性部件短时间内很难得到足够的性能数据,致使对部件退化规律的认知存在一定不确定性,无法准确估计系统的可靠性。为实现对系统可靠性准确估计,假定部件性能参数的分布参数为区间变量,建立了基于区间变量的部件性能参数分布模型,给出了部件状态概率的计算方法。对状态性能区间边界进行补偿,定义了区间通用生成函数及其运算法则,提出了考虑认知不确定性的多态系统可靠性评估方法,并对某型雷达功率放大分系统的可靠性进行分析。本文方法克服了性能参数分布信息缺少、无法准确建立状态性能参数分布模型的不足,具有很强的通用性和工程应用价值。

关键词: 认知不确定性, 通用生成函数, 多态系统, 功率放大系统, 可靠性评估

Abstract: There is epistemic uncertainty in degradation law of a high-reliability component because it is hard to obtain its adequate performance data within a short time,and system reliability cannot be accurately estimated. For the purpose of accurate estimation of system reliability,assuming that the component performance distribution parameter was the interval variable,a component' performance parameter distribution model was built based on interval parameter variable and a computational method of the interval-valued state probability was provided. The boundary of the state performance interval was compensated,the interval-valued universal generating function and its algorithm were defined,an assessment method of interval-valued reliability of the multi-state system in consideration of epistemic uncertainty was proposed,and the reliability of a power amplification system was analyzed. This method not only avoids the lack of distribution information of the performance parameters,but also accurately builds a distribution model of the performance parameters. Therefore,it is widely used in engineering.

Key words: epistemic uncertainty, universal generating function, multi-state system, power amplification system, reliability evaluation

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发