A proportional risk model-based reliability sensitivity analysis

被引：0
|
作者：
Hong D.-P. [1 ]
Zhao Y. [1 ]
Ma X.-B. [1 ]
机构：
[1] School of Reliability and Systems, Beijing University of Aeronautics and Astronautics
来源：
Yuhang Xuebao/Journal of Astronautics | 2011年 / 32卷 / 08期
关键词：
Environment factor; Generalized linear model; Proportional risk model(PRM); Reliability; Sensitivity analysis;
D O I：
10.3873/j.issn.1000-1328.2011.08.032
中图分类号：
学科分类号：
摘要：
To describe the dynamic influence of environment factors on the reliability, a method for reliability sensitivity analysis based on proportional risk model (PRM) is proposed by means of the varied environment test data. In this method, a PRM is introduced to relate the reliability to environment factors. According to the test data analysis or experience, one of the environment conditions is chosen as the baseline environment covariant and the PRM is transformed. Treating the indicator as Poisson distribution, the log-likelihood function is transformed into be a generalized linear expression of Poisson variable. By using the generalized linear model for Poisson distribution, the maximum likelihood estimations of the model coefficients are obtained. Thus the influences of environment factors on the reliability of the product are measured quantificationally. With the reliability model, the reliability sensitivity is obtained. The instance analysis shows that the method can be used to analyze the dynamic varying character of reliability with environment factors and is straightforward for engineering application.
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页码：1865 / 1870
页数：5
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