Method for the recognition of a chronicle, device and corresponding computer program
    2.
    发明申请
    Method for the recognition of a chronicle, device and corresponding computer program 审中-公开
    识别纪事,设备和相应计算机程序的方法

    公开(公告)号:US20060215025A1

    公开(公告)日:2006-09-28

    申请号:US11373522

    申请日:2006-03-10

    IPC分类号: H04N7/18

    CPC分类号: G06F11/3072

    摘要: In a method of recognition of a chronicle from a set of possible chronicles, each of said chronicles consists of a set of events related to one another by pre-determined conditions, said events comprising elementary events and complex events corresponding to a specific combination of at least two elementary events. The method comprising the following steps: obtaining a series of elementary events; determining at least one chronicle, called a presumed chronicle, that meets at least certain of said conditions interrelating said elementary events, from among said set of possible chronicles; and for each of said presumed chronicles, identifying at least one complex event that has to be present in said presumed chronicle; verifying the presence of said complex event from corresponding elementary events; confirming the recognition of said chronicle if said complex event or events are present; so that only the complex events necessary for said recognition are computed.

    摘要翻译: 在从一组可能的编年史识别纪事的方法中,所述编年史中的每一个由通过预定条件彼此相关的一组事件组成,所述事件包括对应于at的特定组合的基本事件和复杂事件 至少两个基本事件。 该方法包括以下步骤:获得一系列基本事件; 确定至少一个称为推定的纪事的纪事,其满足所述一组可能的编年史中与所述基本事件相关的至少某些所述条件; 并且对于每个所述推定的编年史,确定必须存在于所述推定的纪事中的至少一个复杂事件; 从相应的基本事件验证所述复杂事件的存在; 如果所述复杂事件或事件存在,确认所述纪事的承认; 以便仅计算所述识别所需的复杂事件。

    Method for the machine learning of frequent chronicles in an alarm log for the monitoring of dynamic systems
    3.
    发明申请
    Method for the machine learning of frequent chronicles in an alarm log for the monitoring of dynamic systems 失效
    用于监视动态系统的报警日志中机器学习频繁编年史的方法

    公开(公告)号:US20060208870A1

    公开(公告)日:2006-09-21

    申请号:US10554303

    申请日:2004-05-25

    摘要: An automatic method for learning frequent chronicles in an alarm log of a dynamic system for supervision of the system, and a learning system for using the method in a supervision system. According to the method, in an alarm log, alarm sequences are selected and then grouped in groups of similar sequences. Alarms of the groups are then used to produce partial logs. Frequent chronicles are then learned on each transmitted partial log and the partial set of frequent chronicles is determined. Then a set of chronicles in the log is formed with chronicles of the various partial sets.

    摘要翻译: 一种用于在系统监控的动态系统的报警日志中学习频繁编年史的自动方法,以及在监督系统中使用该方法的学习系统。 根据该方法,在报警日志中,选择报警序列,然后以相似序列的组分组。 然后使用组的警报来生成部分日志。 然后在每个传送的部分日志上学习频繁的编年史,并确定频繁编年史的部分集合。 然后,日志中的一组编年史由各种部分集的编年史组成。

    Method for the machine learning of frequent chronicles in an alarm log for the monitoring of dynamic systems
    4.
    发明授权
    Method for the machine learning of frequent chronicles in an alarm log for the monitoring of dynamic systems 失效
    用于监视动态系统的报警日志中机器学习频繁编年史的方法

    公开(公告)号:US07388482B2

    公开(公告)日:2008-06-17

    申请号:US10554303

    申请日:2004-05-25

    IPC分类号: G08B29/00

    摘要: An automatic method for learning frequent chronicles in an alarm log of a dynamic system for supervision of the system, and a learning system for using the method in a supervision system. According to the method, in an alarm log, alarm sequences are selected and then grouped in groups of similar sequences. Alarms of the groups are then used to produce partial logs. Frequent chronicles are then learned on each transmitted partial log and the partial set of frequent chronicles is determined. Then a set of chronicles in the log is formed with chronicles of the various partial sets.

    摘要翻译: 一种用于在系统监控的动态系统的报警日志中学习频繁编年史的自动方法,以及在监督系统中使用该方法的学习系统。 根据该方法,在报警日志中,选择报警序列,然后以相似序列的组分组。 然后使用组的警报来生成部分日志。 然后在每个传送的部分日志上学习频繁的编年史,并确定频繁编年史的部分集合。 然后,日志中的一组编年史由各种部分集的编年史组成。