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Anomaly Detection for Complex Physical System via Nonlinear Relationship Modeling
Anomaly Detection for Complex Physical System via Nonlinear Relationship Modeling
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机译:基于非线性关系建模的复杂物理系统异常检测
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摘要
Methods and systems for detecting anomalies include determining a predictive model for each pair of a set of time series, each time series being associated with a component of a system. New values of each pair of time series are compared to values predicted by the respective predictive model to determine if the respective predictive model is broken. A number of broken predictive models is determined. An anomaly alert is generated if the number of broken predictive models exceeds a threshold.
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