云卫星项目采用的系统风险管理方法

R. Basilio, K. Plourde, T. Lam
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引用次数: 5

摘要

CloudSat项目开发了一种简化的故障树分析和概率风险评估方法。构建了系统级故障树,以识别导致潜在故障的可靠故障场景和故障模式,以满足标称任务成功标准。已经为每个低级别事件(故障模式)定义了风险等级和故障类别,并完成了简化的概率风险评估。尽管该技术或过程将在强调整个开发生命周期的附加价值的进度上成熟和发展,但它已经证实了项目人员在适当的领域集中了风险减少或消除/退休措施。使用现有故障树分析和概率风险评估软件应用程序的粗略评估有助于验证这种简化的方法。希望这将成为美国宇航局其他飞行项目的典范。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic risk management approach employed on the CloudSat project
The CloudSat Project has developed a simplified approach for fault tree analysis and probabilistic risk assessment. A system-level fault tree has been constructed to identify credible fault scenarios and failure modes leading up to a potential failure to meet the nominal mission success criteria. Risk ratings and fault categories have been defined for each low-level event (failure mode) and a streamlined probabilistic risk assessment has been completed. Although this technique or process will mature and evolve on a schedule that emphasizes added value throughout the development life cycle, it has already served to confirm that project personnel are concentrating risk reduction or elimination/retirement measures in the appropriate areas. A cursory evaluation with an existing fault tree analysis and probabilistic risk assessment software application has helped to validate this simplified approach. It is hoped that this will serve as a model for other NASA flight projects.
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