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Application of fault-tree analysis to troubleshooting the NASA GRC icing research tunnel

机译:故障树分析在NASA GRC结冰研究隧道故障排除中的应用

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In 1997, the NASA Glenn Research Center in Cleveland Ohio conducted an extensive troubleshooting effort on its icing research wind tunnel (IRT). This effort utilized fault tree analysis as an analytical troubleshooting tool in order to "attack" a serious nonrepeatability problem with IRT icing cloud parameters. The analysis team investigated many problem areas that were indicated by the fault tree. The fault tree analysis was an important aid in the troubleshooting effort which pulled in organizations needed to investigate the problem and caused a number of simultaneous corrective actions to occur. These actions were critical in restoring the repeatability of the icing cloud parameters even though no single root cause of the problem could be identified. In addition, the analysis team found 9 system level considerations which were brought forward to improve tunnel operations. The possibility of implementing the recommendations was investigated by the IRT staff. We learned that the effectiveness of the analysis was greatly enhanced by a team approach, and by a critical team review of all fault tree sections constructed. Personnel investigated the possibility that certain fault events could exist even when it appeared that the likelihood of an event was small. Intermediate events or potential primary faults were not removed from the fault tree unless sufficient evidence was presented to do so. The IRT management also realized that the fault tree analysis report provided a baseline and history for the investigation of this nonrepeatability problem.
机译:1997年,位于俄亥俄州克利夫兰的NASA Glenn研究中心对其结冰研究风洞(IRT)进行了广泛的故障排除工作。这项工作利用故障树分析作为分析故障排除工具,以“攻击” IRT结冰云参数带来的严重的不可重复性问题。分析团队调查了故障树指示的许多问题区域。故障树分析是故障排除工作的重要帮助,该工作使组织需要调查该问题并导致同时采取许多纠正措施。这些操作对于恢复结冰云参数的可重复性至关重要,即使无法确定问题的单个根本原因。此外,分析团队还发现了9个系统级别的考虑因素,这些考虑因素被提出来改善隧道的运营。 IRT工作人员调查了执行建议的可能性。我们了解到,通过团队合作方法以及对构建的所有故障树部分的关键团队审查,分析的有效性得到了极大的提高。人员调查了某些故障事件可能存在的可能性,即使事件发生的可能性似乎很小。除非提供了足够的证据,否则不会从故障树中除去中间事件或潜在的主要故障。 IRT管理层还意识到,故障树分析报告为调查此不可重复性问题提供了基线和历史记录。

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