摘要
对于高可靠、长寿命产品,基于性能退化数据分析可靠性是一种行之有效的技术途径。结合航空航天产品性能退化的机理与现场试验小子样的特点,建立了基于Normal-Poisson过程的性能退化模型。论文在对产品性能退化建模的基础上,结合Bayes方法给出了退化模型参数的估计算法和可靠性推断的公式,最后结合实例说明了方法的有效性。
Using degradation measurement of product performance over time to analyze product reliability is an effective approach for high-reliability or long-life products. Based on the performanee degradation mechanism of aerospace product and the small sampling characteristic of field test, a model in terms of Normal-Poisson process is proposed. Then the calculation formula for parameter and reliability evaluation is presented through the small rumpling test combined with Bayes method. Finally, an example is given to show the validity of this method.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2006年第3期128-132,共5页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(70571083)
