Integrated reliability assessment using varied environment test data
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摘要: 研究了试验环境对产品可靠性的影响,提出一种利用变环境试验数据的可靠性综合评估方法.利用Cox比例风险模型来描述产品的可靠性与试验环境因素的关系,给出不同环境因素对产品可靠性影响的定量度量.结合产品的可靠性模型提出一种数据折合方法.分别以指数分布和双参数Weibull分布为例,把不同环境条件下的试验数据折合为相同环境条件下的试验数据,进而利用这些试验数据对产品进行可靠性综合评估.该方法综合利用产品在不同环境条件下的试验数据,扩大了样本量,提高了产品可靠性评估精度.实例表明该方法合理可行,便于工程应用.Abstract: The influence of environment on reliability was studied, and a method of integrated reliability assessment using varied environment test data was put forward. The relations of reliability and environment factors were described by the Cox proportional hazards model, and the influences of environment factors were measured. According to the reliability model and the measurement, a new data conversion was proposed to convert the test data of varied environment into that of the same environment. Then the reliability of product was assessed synthetically with the converted test data. With the method, the varied environment test data is used synthetically to enlarge the sample size and increase the information for reliability assessment. Thus, the precision of reliability assessment is improved. The example shows that the method is reasonable, and it is convenient for engineering.
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