装备环境工程
裝備環境工程
장비배경공정
EQUIPMENT ENVIRONMENTAL ENGINEERING
2013年
4期
20-22,46
,共4页
程泽%宣兆龙%刘亚超%郝茂森
程澤%宣兆龍%劉亞超%郝茂森
정택%선조룡%류아초%학무삼
电子元件%高温贮存试验%加速寿命试验%无失效数据%Bayes估计
電子元件%高溫貯存試驗%加速壽命試驗%無失效數據%Bayes估計
전자원건%고온저존시험%가속수명시험%무실효수거%Bayes고계
electronic component%high temperature storage test%accelerated life test%zero-failure data%Bayes estimation
将工厂试验数据作为先验信息，应用Bayes方法确定电子元件高温贮存试验的试样数量，其结果明显少于GJB 345A-2005中规定的试样数量。基于不同试验结果，通过构建寿命模型和确定先验分布，分别得到了电子元件的寿命分布和失效概率的Bayes估计。
將工廠試驗數據作為先驗信息，應用Bayes方法確定電子元件高溫貯存試驗的試樣數量，其結果明顯少于GJB 345A-2005中規定的試樣數量。基于不同試驗結果，通過構建壽命模型和確定先驗分佈，分彆得到瞭電子元件的壽命分佈和失效概率的Bayes估計。
장공엄시험수거작위선험신식，응용Bayes방법학정전자원건고온저존시험적시양수량，기결과명현소우GJB 345A-2005중규정적시양수량。기우불동시험결과，통과구건수명모형화학정선험분포，분별득도료전자원건적수명분포화실효개솔적Bayes고계。
Based on the factory test data, the samples of electronic component high temperature storage test were determined based on Bayes, which are less than the samples defined by GJB345A-2005. The lifetime distribution of electronic component and the Bayes estimation of failure probability were obtained by structuring lifetime model and determining prior distribution based on the different test results.
