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Unsupervised multivariate relational fault detection system for a vehicle and method therefor

机译:用于车辆的无监督多元关系故障检测系统及其方法

摘要

A vehicle fault detection system including a vehicle control module coupled to a plurality of vehicle system sensors configured to detect respective time series of data corresponding to a component parameter, the vehicle control module determines, based on domain knowledge obtained by the vehicle control module from only the respective time series of data, an existence of one or more relationships between the plurality of component parameters, and identifies an anomaly in the respective time series of data and at least a vehicle component to be serviced based only on the domain knowledge and the one or more relationships between the plurality of component parameters. An indication of the anomaly in the respective time series of data and an identification of the vehicle component to be serviced are to be presented as a graphical representation that includes a strength of the one or more relationships between the component parameters.
机译:一种车辆故障检测系统,包括耦合到多个车辆系统传感器的车辆控制模块,所述多个车辆系统传感器被配置为检测对应于部件参数的各个时间序列的数据,所述车辆控制模块基于车辆控制模块仅从各个时间序列的数据中获得的领域知识来确定,所述多个组件参数之间存在一个或多个关系,并且仅基于领域知识和所述多个组件参数之间的一个或多个关系来识别数据的各个时间序列中的异常和至少要服务的车辆组件。各数据时间序列中的异常指示和待维修车辆部件的标识应以图形表示,其中包括部件参数之间一个或多个关系的强度。

著录项

  • 公开/公告号US11315027B2

    专利类型

  • 公开/公告日2022-04-26

    原文格式PDF

  • 申请/专利权人 THE BOEING COMPANY;

    申请/专利号US202016901714

  • 发明设计人 JOHN M. BOGGIO;

    申请日2020-06-15

  • 分类号G07C5;G06N5/04;G07C5/08;G05B23/02;B64D45;

  • 国家 US

  • 入库时间 2022-08-25 00:44:41

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