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Integrated approach to model time series dynamics in complex physical systems

机译:复杂物理系统中时间序列动力学建模的集成方法

摘要

A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.
机译:一种用于分析复杂系统的系统和方法,其包括基于时间序列数据确定模型参数,还包括对多种类型的数据特性进行概要分析以发现复杂数据特性和依赖性。将数据依存关系分类为预定类别以进行分析;以及基于发现的属性和依赖性生成多个模型。该系统和方法可以使用处理器基于为每个模型确定的适应性得分来分析所生成的模型,以生成每个模型的状态报告;整合每个模型的状态报告,以确定生成模型的异常分数;并在异常分数超过预定阈值时生成警报。

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