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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >THE IDENTIFICATION OF DATA ANOMALIES FROM INFORMATION SENSORS BASED ON THE ESTIMATION OF THE CORRELATION DIMENSION OF THE TIME SERIES ATTRACTOR IN SITUATIONAL MANAGEMENT SYSTEMS
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THE IDENTIFICATION OF DATA ANOMALIES FROM INFORMATION SENSORS BASED ON THE ESTIMATION OF THE CORRELATION DIMENSION OF THE TIME SERIES ATTRACTOR IN SITUATIONAL MANAGEMENT SYSTEMS

机译：基于状态管理系统中时间序列吸引者的相关维估计的信息传感器数据异常识别

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摘要

Purpose: The goal is the timely detection of uncharacteristic behavior of the observed processes in the systems of situational management, leading to the development or occurrence of emergency situations. Methodological approach: In the article, it is proposed to analyze the change dynamics in the correlation dimension of the attractor in order to detect anomalies in the behavior of the observed process. A sharp change in the correlation dimension is a reflection of the uncharacteristic (anomalous) nature of the data of the observed processes. This anomaly is a consequence of external influences on the generating system and requires an analysis of the causes of its occurrence. Uniqueness/value: The uniqueness of the proposed approach consists in the fact that an abrupt change in the correlation dimension of the attractor is the information about the occurrence of uncharacteristic behavior of the observed system. The value of the study is determined by the relevance of the problem of modeling the development and occurrence of emergency situations in situational management systems based on the analysis of the time series of observed processes. Summary: The proposed approach is designed to identify the critical states of the generating dynamical systems by their time series. Timely response to the transition of the monitored system to a critical state will allow preventing any critical consequences.
机译：目的：目标是及时发现情况管理系统中观察到的过程的异常行为，从而导致紧急情况的发生或发生。方法论方法：在本文中，提出了分析吸引子相关维度的变化动态，以检测所观察过程的行为异常。相关维数的急剧变化反映了所观察到的过程数据的非特征（异常）性质。这种异常是对发电系统的外部影响的结果，需要对其发生原因进行分析。唯一性/值：所提出方法的唯一性在于，吸引子的相关维度的突然变化是有关所观察系统发生非特征行为的信息。该研究的价值取决于对情境管理系统中紧急情况的发生和发展进行建模的问题的相关性，该问题基于对观察到的过程的时间序列的分析。摘要：提出的方法旨在通过时间序列识别发电动态系统的临界状态。对被监控系统过渡到关键状态的及时响应将可以防止任何关键后果。

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