Anomaly Detection for Complex Physical System via Nonlinear Relationship Modeling

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United States of America Patent

SERIAL NO

15680831

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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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NEC LABORATORIES AMERICA INC4 INDEPENDENCE WAY SUITE 200 PRINCETON NJ 08540

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Haifeng West Windsor, US 334 1793
Jiang, Guofei Princeton, US 137 2813
Song, Dongjin Princeton, US 32 123
Xu, Tingyang Willimantic, US 12 14
Yan, Tan Skillman, US 10 24

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