定量风险评估的统一旋翼机指南

J. Hewitt, Gary D. Braman
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引用次数: 0

摘要

定量风险评估(QRA)是安全风险管理过程的一个有效元素,它补充了过去使用的定性方法。QRA基于Life Data Analysis[1],通过分析未采取纠正措施的风险(未纠正风险),再分析采取了特定缓解措施的风险(已纠正风险),可以准确预测未来风险。在2013年之前,旋翼飞机行业的QRA限制或指导方针没有统一。开展了一项基准测试活动,以记录直升机和发动机制造商、监管机构和学术界使用或推荐的已建立的QRA风险指南的基础。基准测试是一个有重点的过程,它支持能够导致产品、流程和服务改进的更改。预期的结果是对许多组织在管理过程和程序方面的性能水平和最佳实践进行比较,这可以提高卓越运营的标准。基准测试过程导致行业/政府就所有旋翼飞机和安装在多引擎旋翼飞机上的发动机的统一定义和风险指南(数值参数)达成重要里程碑。新的指导方针经小组协商一致通过,并已纳入美国联邦航空局旋翼飞机风险分析手册,以适用于旋翼飞机工业。这项工作可以作为需要标准化定量风险定义和指导方针的其他安全关键领域的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uniform rotorcraft guidelines for quantitative risk assessment
Quantitative Risk Assessment (QRA) is an effective element of the Safety Risk Management process that augments qualitative methods used in the past. QRA is based on Life Data Analysis [1] and can accurately predict future risk by analyzing the risk without corrective action (uncorrected risk), and then analyzing the risk with specific mitigating actions implemented (corrected risk). Before 2013, there was no uniformity among QRA limits or guidelines in the rotorcraft industry. A benchmarking activity was initiated to document the basis of established QRA risk guidelines in use or recommended by helicopter and engine manufacturers, regulatory authorities, and academia. Benchmarking is a focused process that enables changes that can lead to improvements in products, processes, and services. The anticipated outcome is a comparison of the performance level and best practices of numerous organizations in managing processes and procedures, which can improve the standard of operational excellence. The benchmarking process resulted in the significant milestone of industry/government agreement on uniform definitions and risk guidelines (numerical parameters) for all rotorcraft and for engines installed on multi engine rotorcraft. The new guidelines were adopted by consensus of the group and have been promulgated by incorporation into the FAA Rotorcraft Risk Analysis Handbook for application in the rotary wing aircraft industry. This work can serve as a model for other safety critical fields where standardized Quantitative Risk definitions and guidelines are needed.
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