产品性能可靠性评估中的环境因子仿真研究
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金(60472009);军队科研项目


SIMULATION OF ENVIRONMENTAL FACTORS FOR PERFORMANCE RELIABILITY ESTIMATION
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    环境数据综合方法是解决大型复杂电子产品性能可靠性评估中小子样问题的有效途径之一.而环境数据综合的关键在于确定各技术状态下的环境因子.现有的环境因子估计法存在估计精度低、物理建模难等问题,因而限制了其工程应用.为此,提出了一种基于电路仿真的环境因子估计法.该方法首先绘制出产品的Pspice电路原理图(相当于物理建模),而后运用软件的瞬态分析、MonteCarlo分析和温度分析获取各环境状态下的性能仿真数据,再结合加速性能试验的有关理论,即可实现任意环境下环境因子的估计.最后,以某型装备上的稳压电源为例说明了该方法的有效性和实用性.

    Abstract:

    Environmental data synthesis method is one of the effective ways to solve small sample performance reliability estimation problem for complex electronic equipments. The most important part of this method is how to estimate the environmental factors. However, the existing estimation methods have the shortage of lower estimation precision and more difficulty in modeling. In view of these situations, an evaluation method for environmental factors based on circuit simulation was proposed. Firstly, the Pspice schematic of equipment (i.e. the physics modeling of equipment) was protracted. Then, the transient analysis, MonteCarlo analysis and temperature analysis of Pspice software were used to attain the performance simulation data. Thirdly, environmental factors can be acquired for discretional environment situations by combining with the related theory of accelerated performance testing. Finally, an example of steady voltage power was provided and the validity and practicability of the proposed method were confirmed.

    参考文献
    相似文献
    引证文献
引用本文

贾占强,蔡金燕,梁玉英,韩春辉.产品性能可靠性评估中的环境因子仿真研究[J].红外与毫米波学报,2010,29(3):172~175]. JIA Zhan-Qiang, CAI Jin-Yan, LIANG Yu-Ying, HAN Chun-Hui. SIMULATION OF ENVIRONMENTAL FACTORS FOR PERFORMANCE RELIABILITY ESTIMATION[J]. J. Infrared Millim. Waves,2010,29(3):172~175.]

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2009-04-19
  • 最后修改日期:2009-04-19
  • 录用日期:2009-06-17
  • 在线发布日期: 2010-07-19
  • 出版日期:
文章二维码