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For verifying the mixture for using hidden markov model with the system and method for abnormality detection

机译:用于通过用于异常检测的系统和方法来验证用于隐马尔可夫模型的混合物

摘要

The present invention relates to systems and methods for tracking, over time, data recorded in systems. The techniques described herein include the ability to detect and classify system activities and produce indicators of normal system operation and anomaly detection. Systems and methods according to the present invention may represent activities taking place in the controlled system in such a way that the temporal characteristics of the activities can be recorded and used for detecting, classifying and / or detecting anomalies, This can be particularly useful when dealing with complex systems and / or activities.
机译:本发明涉及用于随时间跟踪系统中记录的数据的系统和方法。本文描述的技术包括检测和分类系统活动并产生正常系统运行和异常检测指标的能力。根据本发明的系统和方法可以以这样的方式表示在受控系统中发生的活动,使得可以记录活动的时间特征并将其用于检测,分类和/或检测异常。这在处理时特别有用。具有复杂的系统和/或活动。

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