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    Fault detection and root cause identification in complex systems
    1.
    发明申请
    Fault detection and root cause identification in complex systems 审中-公开
    复杂系统中的故障检测和根本原因识别

    公开(公告)号：US20070028220A1

    公开(公告)日：2007-02-01

    申请号：US11454618

    申请日：2006-06-16

    申请人： William Miller ,  Kenneth Marko ,  Dragan Djurdjanovic ,  Jianbo Liu

    发明人： William Miller ,  Kenneth Marko ,  Dragan Djurdjanovic ,  Jianbo Liu

    IPC分类号： G06F9/44

    CPC分类号： G06K9/6251 ,  G05B23/0278 ,  G06F11/3447 ,  G06F11/3466

    摘要： A system and method for detecting anomalies and identifying root causes of anomalies in a system are disclosed. The system includes anomaly detection agents trained to detect anomalies. The anomalies are known anomalies occurring in the system. The anomaly detection agents are interfaced with components of a tested system, and operate on one or more predetermined levels, such as hierarchical or threshold levels. The system also includes a root cause identification tool configured to identify potential root causes for anomalies occurring during actual operation of the tested system based on data from the anomaly detection agents.

    摘要翻译： 公开了一种用于检测异常的系统和方法，并且识别系统中异常的根本原因。 该系统包括经过培训以检测异常的异常检测代理。 异常是系统中发现的已知异常现象。 异常检测代理与测试系统的组件接口，并且在一个或多个预定级别（例如分级或阈值级别）上操作。 该系统还包括根本原因识别工具，其被配置为基于来自异常检测代理的数据来识别在测试系统的实际操作期间发生的异常的潜在根本原因。

    Neural network-based engine misfire detection systems and methods
    3.
    发明申请
    Neural network-based engine misfire detection systems and methods 审中-公开
    基于神经网络的发动机失火检测系统和方法

    公开(公告)号：US20080243364A1

    公开(公告)日：2008-10-02

    申请号：US11728419

    申请日：2007-03-26

    申请人： Pu Sun ,  Kenneth Marko

    发明人： Pu Sun ,  Kenneth Marko

    IPC分类号： G01M15/11

    CPC分类号： G01M15/11

    摘要： Methods and systems for detecting misfire events in a multicylinder engine are disclosed. One method includes associating a neural network with a cylinder of a multicylinder engine. The method also includes inputting to the neural network a plurality of crankshaft parameters. The method further includes determining the existence of an engine misfire in the cylinder based on the output of the neural network.

    摘要翻译： 公开了用于检测多缸发动机中的失火事件的方法和系统。 一种方法包括将神经网络与多缸发动机的气缸相关联。 该方法还包括向神经网络输入多个曲轴参数。 该方法还包括基于神经网络的输出来确定气缸中发动机失火的存在。