航空学报 > 2008, Vol. 29 Issue (5): 1133-1138

功能分析与失效物理结合的可靠性预计方法

陈云霞,谢汶姝,曾声奎   

  1. 北京航空航天大学 工程系统工程系
  • 收稿日期:2007-10-19 修回日期:2007-12-14 出版日期:2008-09-25 发布日期:2008-09-25
  • 通讯作者: 谢汶姝

Functional Analysis and Physics of Failure Associated Reliability Prediction

Chen Yunxia,Xie Wenshu,Zeng Shengkui   

  1. Department of System Engineering of Engineering Technology, Beijing University ofAeronautics and Astronautics
  • Received:2007-10-19 Revised:2007-12-14 Online:2008-09-25 Published:2008-09-25
  • Contact: Xie Wenshu

摘要: 可靠性预计是产品设计、研发过程中的重要工作,全面准确的可靠性预计可以评价产品的可靠性水平,也可以为设计提供信息,指导设计。全面分析总结当前电子设备可靠性预计相关技术方法,以当前基于失效物理(POF)技术的系统可靠性预计方法中,并未考虑产品功能组成关系的缺陷为突破点,建立了一种以失效物理分析为基础,综合考虑电路功能组成关系的电子设备可靠性预计方法。该方法从电路功能出发,通过灵敏度仿真和主成分分析两种方法,确定对电路性能起主要影响的关键单元,再通过失效物理分析或统计规律明确单元的失效概率分布,通过混合分布获得系统的分布,得到系统可靠性指标。最后以某航空机电产品的电源电路为案例,对本预计方法进行验证。

关键词: 可靠性预计, 功能组成分析, 失效物理, 关键单元, 混合分布

Abstract: Reliability prediction is an important phase in product design and development. Comprehensive and precise reliability prediction can be used to evaluate the reliability level of products and provide information and guidance for design. This article summarizes the technical methods currently employed for electronic equipment reliability prediction and holds that the present reliability prediction methods based on physics of failure(PoF)fail to take into consideration the functional composition of products. It,then proposes an electronic equipment reliability prediction method(EERPM)which is based on PoF analysis but also takes circuit function into consideration. This method first establishes the key parts for the performance of a circuit by means of the two methods of sensitivity simulation and principal component analysis(SSPCA), and then decides the probable life distribution of each part by PoF method or statistical experiential data. System life distribution can be obtained by means of mixed distribution; consequently, system reliability data will be obtained. The article takes an aviation power supply circuit as an example to illustrate the method.

Key words: reliability prediction, functional composition analysis, physics of failure, key part, mixed distribution

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