Extended fault modeling used in the space shuttle PRA

W. Vesely
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引用次数: 3

Abstract

A probabilistic risk assessment (PRA) has been completed for the space shuttle with NASA sponsorship and involvement. This current space shuttle PRA is an advancement over past PRAs conducted for the space shuttle in the technical approaches utilized and in the direct involvement of the NASA centers and prime contractors. One of the technical advancements is the extended fault modeling techniques used. A significant portion of the data collected by NASA for the space shuttle consists of faults, which are not yet failures but have the potential of becoming failures if not corrected. This fault data consists of leaks, cracks, material anomalies, and debonding faults. Detailed, quantitative fault models were developed for the space shuttle PRA which involved assessing the severity of the fault, detection effectiveness, recurrence control effectiveness, and mission-initiation potential. Each of these attributes was transformed into a quantitative weight to provide a systematic estimate of the probability of the fault becoming a failure in a mission. Using the methodology developed, mission failure probabilities were estimated from collected fault data. The methodology is an application of counter-factual theory and defect modeling which produces consistent estimates of failure rates from fault rates. Software was developed to analyze all the relevant fault data collected for given types of faults in given systems. The software allowed the PRA to be linked to NASA's fault databases. This also allows the PRA to be updated as new fault data is collected. This fault modeling and its implementation with FRAS was an important part of the space shuttle PRA.
扩展故障建模在航天飞机PRA中的应用
在美国宇航局的赞助和参与下,航天飞机的概率风险评估(PRA)已经完成。当前的航天飞机PRA比过去为航天飞机进行的PRA在所采用的技术方法和美国宇航局中心和主要承包商的直接参与方面取得了进步。技术进步之一是所使用的扩展故障建模技术。美国宇航局为航天飞机收集的数据中有很大一部分是由故障组成的,这些故障还不是故障,但如果不加以纠正,就有可能成为故障。故障数据包括泄漏、裂纹、材料异常和剥离故障。为航天飞机PRA开发了详细的定量故障模型,包括评估故障的严重程度、检测有效性、复发控制有效性和任务启动潜力。这些属性中的每一个都被转换成定量权重,以提供故障成为任务失败概率的系统估计。利用所开发的方法,从收集的故障数据估计任务失效概率。该方法是反事实理论和缺陷建模的应用,从故障率产生一致的故障率估计。开发了软件来分析针对给定系统中给定类型的故障收集的所有相关故障数据。该软件允许PRA连接到NASA的故障数据库。这样可以在收集到新的故障数据时更新PRA。故障建模及其在FRAS中的实现是航天飞机PRA的重要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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