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公开(公告)号：US20180053111A1
公开(公告)日：2018-02-22
申请号：US15680831
申请日：2017-08-18
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Dongjin Song , Haifeng Chen , Guofei Jiang , Tingyang Xu
CPC classification number: H02J13/0006 , G05B17/02 , G06F17/142 , G06F17/16 , G06F17/18 , G06K9/00563 , G06K9/6244 , G06K9/6267 , G06N7/08 , G06N20/00
Abstract: 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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2.发明申请公开(公告)号：US20180054085A1
公开(公告)日：2018-02-22
申请号：US15680796
申请日：2017-08-18
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Dongjin Song , Haifeng Chen , Guofei Jiang , Tingyang Xu
CPC classification number: H02J13/0006 , G05B17/02 , G06F17/142 , G06F17/16 , G06F17/18 , G06K9/00563 , G06K9/6244 , G06K9/6267 , G06N7/08 , G06N20/00
Abstract: A power generator system with anomaly detection and methods for detecting anomalies include a power generator that includes one or more physical components configured to provide electrical power. Sensors are configured to make measurements of a state of respective physical components, outputting respective time series of said measurements. A monitoring system includes a fitting module configured to determine a predictive model for each pair of a set of time series, an anomaly detection module configured to compare new values of each pair of time series to values predicted by the respective predictive model to determine if the respective predictive model is broken and to determine a number of broken predictive model, and an alert module configured to generate an anomaly alert if the number of broken predictive models exceeds a threshold.
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3.发明授权公开(公告)号：US10340734B2
公开(公告)日：2019-07-02
申请号：US15680796
申请日：2017-08-18
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Dongjin Song , Haifeng Chen , Guofei Jiang , Tingyang Xu
Abstract: A power generator system with anomaly detection and methods for detecting anomalies include a power generator that includes one or more physical components configured to provide electrical power. Sensors are configured to make measurements of a state of respective physical components, outputting respective time series of said measurements. A monitoring system includes a fitting module configured to determine a predictive model for each pair of a set of time series, an anomaly detection module configured to compare new values of each pair of time series to values predicted by the respective predictive model to determine if the respective predictive model is broken and to determine a number of broken predictive model, and an alert module configured to generate an anomaly alert if the number of broken predictive models exceeds a threshold.
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