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Aircraft Fatigue Analysis in the Digital Age

机译:数字时代的飞机疲劳分析

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摘要

With the unending pursuit of efficiency by operators comes the requirement to continuously review the design and usage parameters of aircraft. Improved fatigue analysis offers a plethora of opportunities to provide not only benefits for design, but also tailored solutions on a case-by-case basis, including the optimisation of maintenance schedules without compromise to safety. In order to unlock the full potential of a digital approach to fatigue, it is essential to take advantage of the huge volume of data now available, from meteorological conditions encountered to mission type flown. By applying a 'big data' mentality to more traditional analysis, limitless parameters will build a vast database of information to create the 'Aircraft Fatigue Model'; operators will no longer be required to adhere to restrictions based on average fleet usage. This paper discusses the strategy for moving aircraft fatigue analysis into the digital age, through the creation of the Aircraft Fatigue Model and digital twins, to the application of 'big data' analytics and the subsequent deliverables and benefits to operators unique to the digitalisation approach.
机译:随着无止境追求效率的运营商来不断检查飞机的设计和使用参数的要求。改进的疲劳分析提供了机会过多,不仅提供了设计的好处,但对案件逐案基础上还量身定制的解决方案,包括维护计划不会危及安全的最优化。为了解开数字方法疲劳的全部潜力,它把现在可用的数据量巨大的优势,从遇到的飞行任务类型的气象条件是必不可少的。通过将“大数据”的思想更传统的分析,无限的参数将建立的信息来创建“飞机疲劳模型”一个庞大的数据库;运营商将不再需要坚持立足平均机的使用限制。本文讨论了移动的飞机疲劳分析进入数字化时代,通过建立飞机疲劳模型和数字双胞胎,以“大数据”分析和后续的成果和好处特有的数字化方式运营商的应用策略。

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