自动化大气中子测试:最小化成本和提高统计确定性

Matthew J. Smith, Lawrence M. Kent, James J. Montante
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引用次数: 0

摘要

准确的辐射诱发事件率预测对于在自然空间和地面航空电子环境中建立预期的电子设备性能至关重要。一些不确定性的来源,比如环境软件模型,不容易改进。然而,收集数据的统计确定性、设备租赁费用和工程人力可以通过高保真的自动化测试来优化。对自动化测试开发的投资降低了测试活动的总体成本,同时最大化了所收集数据的统计确定性。这是通过定制自动化测试来实现的,以加快大气中子测试设施中每单位实时事件数据的捕获。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automating atmospheric neutron testing: Minimizing cost and improving statistical certainty
Accurate radiation-induced event-rate predictions are critical in establishing expected electronic equipment performance in natural space and terrestrial avionic environments. Some sources of uncertainty, like environmental software models, cannot easily be improved. However, the statistical certainty of collected data, facility rental expense, and engineering man-power can be optimized through high fidelity automated test. The investment in automated test development results in a lower overall cost of a test campaign, while simultaneously maximizing statistical certainty of the collected data. This is achieved by tailoring the automated test to expedite the event data capture per unit of real time at atmospheric neutron test facilities.
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