摘要
针对高加速应力筛选(High Accelerated Stress Screening)试验中对受试产品剩余寿命的要求,在惯性器件剩余寿命降低到一定程度后其性能会发生变化的前提下,提出了一种考核惯性产品寿命受高加速应力影响的方法。首先在高加速应力筛选试验前测试惯性器件的关键性能,以信噪比(SNR)和相关度(ρ)为评价原则利用自回归(Auto Regressive)方法对性能指标测试参数进行建模,确定最优模型阶数;使用Burg方法计算AR模型系数。在惯性器件经受了高加速应力筛选试验后测试惯性器件的性能参数,利用Chow检验方法对加速应力筛选试验前后的性能测试参数进行检验,在一定置信度条件下考察性能参数是否发生了显著性变化,进而对高加速应力筛选试验是否影响惯性器件的剩余寿命进行判定。最后通过某型加速度计高加速应力试验进行了验证。
In high accelerated stress screening（HASS） test,it is crucial to avoid excessive consumption of life for tested products.A novel process is proposed to assess the life consumption for inertial components under the hypothesis that the performance will deviate the normal level if life consumption is decreased to some extent.Firstly,the key performances of inertial components are tested before HASS test,and modeled with auto regression（AR） method utilizing signal to noise ration（SNR） and correlation coefficient（ρ） as the evaluation index to decide the appropriate order.The Burg algorithm is used to calculate the model coefficients.After the HASS test,the performance data are also calibrated under the same conditions.And then Chow test method is used to assess whether the performance has been obviously affected during the HASS test.In the end,an accelerometer HASS test was utilized to verify the process.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2011年第1期111-115,126,共6页
Journal of Chinese Inertial Technology
基金
国家重点基础研究发展计划项目(G200561388)
关键词
高加速应力筛选
惯性器件
AR模型
CHOW检验
high accelerated stress screening
inertial components
auto regression
Chow test
