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GEOSYNCHRONOUS COMMUNICATION SATELLITE RELIABILITY: STATISTICAL DATA ANALYSIS AND MODELING

机译:地球合子通信卫星可靠性:统计数据分析和建模

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Reliability is a critical design attribute for systems operating in remote or inhospitable environments, such as spacecraft or sub-sea installations. Surprisingly however, limited empirical data and statistical analysis of satellite reliability exist in the technical literature. In this paper, we fill this gap by collecting and analyzing life data of over four hundred geosynchronous communication satellites successfully launched between 1990 and 2008. First, we conduct a nonparametric reliability analysis of our sample using the Kaplan-Meier estimator (given the censored nature of our data). Second, we derive confidence intervals for our nonparametric reliability results. Finally, we conduct a parametric analysis and discuss the need for finite mixture distributions to properly capture the nonparametric failure behavior of the communication satellites in our sample. The results here provided should prove useful to satellite manufacturers and operators, for example in providing an empirical basis for reliability growth programs, or better gauging investment risks in space systems.
机译:可靠性是用于在远程或犹豫不决的环境中运行的系统的关键设计属性,例如航天器或亚海安装。然而,令人惊讶的是,在技术文献中存在有限的经验数据和卫星可靠性的统计分析。在本文中,我们通过收集和分析成功在1990年至2008年之间成功推出的四百多个地球正交通信卫星的生活数据来填补这一差距。首先,我们使用Kaplan-Meier估算者对我们的样品进行非参数可靠性分析(鉴于审查的性质我们的数据)。其次,我们为非参数可靠性结果提供了置信区间。最后,我们进行参数分析,并讨论有限混合分布的需要,以适当地捕获我们样本中通信卫星的非参数失效行为。这里提供的结果应该证明卫星制造商和运营商有用,例如在提供可靠性增长计划的实证基础,或者在空间系统中更好地测量投资风险。

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