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COMPARATIVE RELIABILITY OF GEO, LEO, AND MEO SATELLITES

机译:GEO,LEO和MEO卫星的比较可靠性

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Reliability has long been a major consideration in the design of space systems, and in recent years it has become an essential metric in spacecraft design trade-space exploration and optimization. The purpose of this paper is to statistically derive and compare reliability results of Earth-orbiting satellites as a function of orbit type, namely geosynchronous orbits (GEO), low Earth orbits (LEO) and medium Earth orbits (MEO). Using an extensive database of satellite launches and failures/anomalies, life data analyses are conducted over three samples of satellites within each orbit type and successfully launched between 1990 and 2008. Because the dataset is censored, the Kaplan-Meier estimator is used to estimate the reliability functions. Plots of satellite reliability as a function of orbit altitude are provided for each orbit type, as well as confidence bounds on these estimates. Using analytical techniques such as maximum likelihood estimation (MLE), parametric fits are conducted on the previous nonparametric reliability results using single Weibull and mixture distributions. Based on these parametric fits, a comparative reliability analysis is provided identifying similarities and differences in the reliability behaviors of satellites in these three types of orbits. Finally, beyond the statistical analysis, this work concludes with several hypotheses for structural/causal explanations of these trends and difference in on-orbit failure behavior.
机译:长期以来,可靠性一直是空间系统设计中的主要考虑因素,近年来,可靠性已成为航天器设计贸易空间探索和优化的重要指标。本文的目的是根据轨道类型(即地球同步轨道(GEO),低地球轨道(LEO)和中地球轨道(MEO))的统计,得出和比较地球轨道卫星的可靠性结果。利用广泛的卫星发射和失败/异常数据库,对每种轨道类型的三个卫星样本进行了生命数据分析,并成功地在1990年至2008年之间进行了发射。由于对数据集进行了审查,因此使用Kaplan-Meier估计器来估计可靠性功能。为每种轨道类型提供了卫星可靠性随轨道高度变化的曲线图,以及这些估计值的置信区间。使用分析技术(例如最大似然估计(MLE)),使用单个Weibull和混合分布对先前的非参数可靠性结果进行参数拟合。基于这些参数拟合,提供了比较可靠性分析,确定了这三种类型轨道中卫星可靠性行为的相似性和差异。最后,除了统计分析之外,这项工作以对这些趋势和在轨故障行为差异的结构/因果解释的几个假设作为结论。

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