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Machine Learning

机译:机器学习

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摘要

From putting aircraft on uncongested, turbulence-free flight paths to ensuring engine maintenance checks don't miss a single hairline crack, artificial intelligence (AI) is fast becoming a vital tool for airline operators. From Airbus and Boeing to General Electric and Garmin, major aerospace players are moving towards AI and machine learning to save time and money while enhancing safety. Across the industry, the deployment of AI -technology that appears to mirror human performance by learning and adapting to complex information - is being hailed as a major milestone comparable to the introduction of jet engines in the 1950s and fly-by-wire in the 1980s. One major European airline whose industry partnerships have put it at the forefront of the technology is easyJet. The low-cost carrier recently signed a deal with Dutch company Aiir Innovations to optimise its engine maintenance, using AI to speed up borescope inspections and cut out errors by providing automated damage detection. After Aiir Innovations software has analysed borescope footage taken from inside the engine, multiple airline and maintenance parties can view and comment on any suspected defects via an online platform.
机译:从将飞机放在不合作的无湍流的飞行路径上,以确保发动机维护检查不会错过单一发际裂缝,人工智能(AI)快速成为航空公司运营商的重要工具。从空中客车和波音到通用电气和Garmin,主要的航空航天球员正在向AI和机器学习,以节省时间和金钱,同时提高安全。在整个行业中,AI -Technology的部署似乎通过学习和适应复杂的信息来镜像和适应复杂的信息 - 作为一个主要的里程碑,与20世纪80年代和20世纪80年代的飞行线相当的主要里程碑。 。一个主要的欧洲航空公司,其行业伙伴关系在技术的最前沿将其置于easyjet。低成本运营商最近签署了荷兰公司AIIR创新的协议,以优化其发动机维护,通过提供自动损坏检测来加速Borescope检查并缩短误差。 AIIR创新软件分析了从发动机内部采取的Borescope镜头,多个航空公司和维护方可以通过在线平台查看和评论任何可疑的缺陷。

著录项

  • 来源
    《Air International》 |2021年第2期|92-97|共6页
  • 作者

    Tom Batchelor;

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