System and method for the detection of faults in a multi-variable system utilizing both a model for normal operation and a model for faulty operation
    3.
    发明授权
    System and method for the detection of faults in a multi-variable system utilizing both a model for normal operation and a model for faulty operation 有权
    利用正常运行模型和故障运行模型,在多变量系统中检测故障的系统和方法

    公开(公告)号:US09366451B2

    公开(公告)日:2016-06-14

    申请号:US13336153

    申请日:2011-12-23

    IPC分类号: F24F11/00 G06N99/00 G06K9/62

    摘要: A method for detecting faulty operation of a multi-variable system is described. The method includes receiving operational data from a plurality of components of the multi-variable system and processing the operational data in accordance with a plurality of dynamic machine learning fault detection models to generate a plurality of fault detection results. Each fault detection model uses a plurality of variables to model one or more components of the multi-variable system and is adapted to detect normal or faulty operation of an associated component or set of components of the multi-variable system. The plurality of fault detection results are output.

    摘要翻译: 描述了用于检测多变量系统的故障操作的方法。 该方法包括从多变量系统的多个部件接收操作数据,并根据多个动态机器学习故障检测模型处理操作数据,以产生多个故障检测结果。 每个故障检测模型使用多个变量来对多变量系统的一个或多个组件进行建模,并且适于检测多变系统的相关组件或组件的正常或故障操作。 输出多个故障检测结果。

    SYSTEM AND METHOD FOR DETECTING AND/OR DIAGNOSING FAULTS IN MULTI-VARIABLE SYSTEMS
    4.
    发明申请
    SYSTEM AND METHOD FOR DETECTING AND/OR DIAGNOSING FAULTS IN MULTI-VARIABLE SYSTEMS 有权
    用于检测和/或诊断多变系统中的故障的系统和方法

    公开(公告)号:US20120185728A1

    公开(公告)日:2012-07-19

    申请号:US13336153

    申请日:2011-12-23

    IPC分类号: G06F11/26

    摘要: A method for detecting faulty operation of a multi-variable system is described. The method includes receiving operational data from a plurality of components of the multi-variable system and processing the operational data in accordance with a plurality of dynamic machine learning fault detection models to generate a plurality of fault detection results. Each fault detection model uses a plurality of variables to model one or more components of the multi-variable system and is adapted to detect normal or faulty operation of an associated component or set of components of the multi-variable system. The plurality of fault detection results are output.

    摘要翻译: 描述了用于检测多变量系统的故障操作的方法。 该方法包括从多变量系统的多个部件接收操作数据,并根据多个动态机器学习故障检测模型处理操作数据,以产生多个故障检测结果。 每个故障检测模型使用多个变量来对多变量系统的一个或多个组件进行建模,并且适于检测多变系统的相关组件或组件的正常或故障操作。 输出多个故障检测结果。