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基于性能退化分析的电连接器可靠性评估
引用本文:王浩伟,徐廷学,赵建忠.基于性能退化分析的电连接器可靠性评估[J].计算机工程与科学,2015,37(3):616-620.
作者姓名:王浩伟  徐廷学  赵建忠
作者单位:1. 海军航空工程学院研究生大队,山东烟台,264001
2. 海军航空工程学院兵器科学与技术系,山东烟台,264001
基金项目:国家自然科学基金资助项目(61273058)
摘    要:某型电连接器具有寿命长、可靠性高的特点,传统的基于失效寿命数据的可靠性评估方法行不通。提出了基于性能退化分析的可靠性评估方法,给出了进行评估的一般步骤,并以温度为加速应力设计了该型电连接器的加速退化试验。分析了电连接器的接触失效机理,进而推导出退化模型,估计出了样品的伪寿命值。利用Anderson-Darling统计量确定寿命分布类型为对数正态分布,对寿命分布函数和Arrhenius加速方程的参数值进行了极大似然估计,推导出了该型电连接器在工作温度下的可靠度函数,得出t0.9为244 240h。

关 键 词:性能退化  可靠性评估  伪寿命值  寿命分布  极大似然估计
收稿时间:2013-04-08
修稿时间:2013-09-16

Reliability assessment of electrical connectors based on performance degradation analysis
WANG Hao-wei , XU Ting-xue , ZHAO Jian-zhong.Reliability assessment of electrical connectors based on performance degradation analysis[J].Computer Engineering & Science,2015,37(3):616-620.
Authors:WANG Hao-wei  XU Ting-xue  ZHAO Jian-zhong
Affiliation:(1.Graduate Students’ Brigade,Navy Aviation Engineering Academy,Yantai 264001; 2.Department of Armament,Navy Aviation Engineering Academy,Yantai 264001,China)
Abstract:Traditional reliability assessment methods,which are based on failure lifetime data,cannot evaluate the reliabilities of electrical connectors with long-lifetime and high reliability characters.A reliability assessment method based on performance degradation analysis is proposed, the general steps which are used to implement evaluation are given and an accelerated degradation test is designed by taking temperature as accelerated stress.By analyzing the degradation failure mechanism of electrical connectors,its degradation model is deduced and then the pseudo lifetime evaluations of the samples are obtained.Lognorm distribution is chosen as the best lifetime distribution by means of Anderson-Darling,and parameters of lifetime distribution function and Arrhenius equation are calculated by MLE.Eventually,the reliability function of the electrical connectors working in operational temperature is deduced and t0.9 is 244240 hours.
Keywords:performance degradation  reliability assessment  pseudo-lifetime  lifetime distribution  MLE
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