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Aircraft maintenance event prediction using higher-level and lower-level system information

机译:使用上级和下级系统信息进行飞机维修事件预测

摘要

A method and apparatus for maintaining an aircraft. Real-time event information indicating faults in systems on the aircraft and aircraft condition monitoring system data indicating conditions of the systems on the aircraft are stored during a plurality of legs of flights of the aircraft. A feature table comprising the real-time event information and the aircraft condition monitoring system data is built. Feature vectors are extracted from the feature table. A machine learning algorithm is applied to the extracted feature vectors to generate a predicted maintenance event message that identifies a predicted maintenance event. The predicted maintenance event message is used to perform a maintenance operation on the aircraft.
机译:一种用于维护飞机的方法和设备。在飞行器的多个飞行行程期间,存储指示飞行器上的系统故障的实时事件信息和指示飞行器上的系统状态的飞行器状态监视系统数据。建立包括实时事件信息和飞机状况监测系统数据的特征表。从特征表中提取特征向量。将机器学习算法应用于所提取的特征向量,以生成标识预测维护事件的预测维护事件消息。预测的维护事件消息用于对飞机执行维护操作。

著录项

  • 公开/公告号US10650614B2

    专利类型

  • 公开/公告日2020-05-12

    原文格式PDF

  • 申请/专利权人 THE BOEING COMPANY;

    申请/专利号US201715721533

  • 申请日2017-09-29

  • 分类号G07C5;B64F5/40;B64F5/60;B64D45;G06Q10;G06Q50/30;G07C5/08;

  • 国家 US

  • 入库时间 2022-08-21 11:31:16

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