Reliability estimation for one-shot systems with zero component test failures

Huairui Guo, S. Honecker, A. Mettas, D. Ogden
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引用次数: 26

Abstract

Te for one-shot systems such as missiles and rockets are very expensive. In order to design an efficient test plan to demonstrate the required reliability in the final system test, system reliability should be studied in advance. Before the final system tests, many subsystem level tests usually have already been conducted by customers and manufacturers. Therefore, the system reliability can be estimated using the information obtained from these tests before the final system test. Due to the highly reliable nature of one-shot systems, it is very unlikely to observe many failures, even at the subsystem level tests. To accurately estimate the system reliability with few failures or even without failures is very challenging. A lot of research has been done on how to estimate the system reliability and its confidence intervals from its subsystem test data. However, most of them require failures at the sub-level tests. When there are no failures, these methods do not work. In this paper, a flexible and practical method is designed to estimate the system reliability and its confidence bounds when there are few or no failures during the subsystem tests. This method can be applied to series, parallel and complex systems. The estimated system reliability information is then used to design an efficient test plan for the final system reliability demonstration test. A case study shows that the proposed method is very efficient and accurate when compared with existing methods and simulation results.
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零组件试验失效单次系统可靠性估计
像导弹和火箭这样的一次性系统非常昂贵。为了设计一个有效的测试方案,在最终的系统测试中证明所需的可靠性,需要提前对系统可靠性进行研究。在最终的系统测试之前,客户和制造商通常已经进行了许多子系统级别的测试。因此,在最终系统测试之前,可以使用从这些测试中获得的信息来估计系统的可靠性。由于单次系统的高可靠性,即使在子系统级别的测试中,也不太可能观察到许多故障。要准确地估计系统在很少故障甚至没有故障的情况下的可靠性是非常具有挑战性的。如何从子系统测试数据中估计系统可靠性及其置信区间,已经做了大量的研究。然而,它们中的大多数都要求在子级测试中失败。当没有失败时,这些方法不起作用。本文设计了一种灵活实用的方法,用于在子系统测试中很少或没有故障的情况下估计系统可靠性及其置信范围。该方法适用于串联、并联和复杂系统。然后利用估计的系统可靠性信息为最终的系统可靠性演示测试设计有效的测试计划。实例研究表明,与现有方法和仿真结果相比,该方法具有较高的效率和精度。
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