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出 处:《Journal of Southeast University(English Edition)》2010年第3期480-483,共4页东南大学学报(英文版)
基 金:The National Natural Science Foundation of China (No.50405021)
摘 要:In order to evaluate the reliability of long-lifetime products with degradation data, a new proportional hazard degradation model is proposed. By the similarity between time-degradation data and stress-accelerated lifetime, and the failure rate function of degradation data which is assumed to be proportional to the time covariate, the reliability assessment based on a proportional hazard degradation model is realized. The least squares method is used to estimate the model's parameters. Based on the failure rate of the degradation data and the proportion function of the known time, the failure rate and the reliability function under the given time and the predetermined failure threshold can be extrapolated. A long life GaAs laser is selected as a case study and its reliability is evaluated. The results show that the proposed method can accurately describe the degradation process and it is effective for the reliability assessment of long lifetime products.为了利用退化数据评估长寿命产品的可靠性,提出一种新的比例风险退化模型.利用时间退化数据与应力加速寿命之间的相似关系,并假定退化数据的失效概率函数是时间协变量的比例函数,从而实现基于比例风险退化模型的可靠性评估.采用最小二乘法估计模型参数.由已知时刻的退化量失效率及比例函数外推产品在特定时间、预定失效阈值下的失效率及可靠度函数.以一种长寿命GaAs激光器的退化数据为例,完成该产品的可靠性评估.结果表明:所提方法能准确描述退化过程,是长寿命产品可靠性评估的一种有效方法.
关 键 词:degradation data hazard function proportional hazard model reliability assessment
分 类 号:TB114.3[理学—概率论与数理统计]
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