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公开(公告)号：US20200285807A1
公开(公告)日：2020-09-10
申请号：US16787774
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: A method detects anomalies in a system having sensors for collecting multivariate sensor data including discrete event sequences. The method determines, using a NMT model, pairwise relationships among the sensors based on the data. The method forms sequences of characters into sentences on a per sensor basis, by treating each discrete variable in the sequences as a character in natural language. The method translates, using the NMT, the sentences of source sensors to sentences of target sensors to obtain a translation score that quantifies a pairwise relationship strength therebetween. The method aggregates the pairwise relationships into a multivariate relationship graph having nodes representing sensors and edges denoted by the translation score for a sensor pair connected thereto to represent the pairwise relationship strength therebetween. The method performs a corrective action to correct an anomaly responsive to a detection of the anomaly relating to the sensor pair.
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Patent Agency Ranking
公开(公告)号：US11520981B2
公开(公告)日：2022-12-06
申请号：US16787774
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: A method detects anomalies in a system having sensors for collecting multivariate sensor data including discrete event sequences. The method determines, using a NMT model, pairwise relationships among the sensors based on the data. The method forms sequences of characters into sentences on a per sensor basis, by treating each discrete variable in the sequences as a character in natural language. The method translates, using the NMT, the sentences of source sensors to sentences of target sensors to obtain a translation score that quantifies a pairwise relationship strength therebetween. The method aggregates the pairwise relationships into a multivariate relationship graph having nodes representing sensors and edges denoted by the translation score for a sensor pair connected thereto to represent the pairwise relationship strength therebetween. The method performs a corrective action to correct an anomaly responsive to a detection of the anomaly relating to the sensor pair.
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公开(公告)号：US11297142B2
公开(公告)日：2022-04-05
申请号：US16776883
申请日：2020-01-30
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: Systems and methods for evaluating another computer system using temporal discrete event analytics are provided. The method includes generating sentences of discrete event sequences for multiple sensors. The method also includes building a sensor relationship network in response to generating the sentences of discrete event sequences. The sensor relationship network is analyzed to determine relationships between the multiple sensors. The method further includes performing fault diagnosis based on the sensor relationship network and the relationships between the multiple sensors.
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公开(公告)号：US20200252461A1
公开(公告)日：2020-08-06
申请号：US16776883
申请日：2020-01-30
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: Systems and methods for evaluating another computer system using temporal discrete event analytics are provided. The method includes generating sentences of discrete event sequences for multiple sensors. The method also includes building a sensor relationship network in response to generating the sentences of discrete event sequences. The sensor relationship network is analyzed to determine relationships between the multiple sensors. The method further includes performing fault diagnosis based on the sensor relationship network and the relationships between the multiple sensors.
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公开(公告)号：US11194692B2
公开(公告)日：2021-12-07
申请号：US16037354
申请日：2018-07-17
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Hui Zhang , Haifeng Chen , Bin Nie
IPC: G06F11/34 , G06F11/00 , G06K9/62 , G06F16/35 , G06F17/18 , G06N3/04 , G06N20/00 , G06F16/31 , G06N5/04
Abstract: Methods and systems for system maintenance include identifying patterns in heterogeneous logs. Predictive features are extracted from a set of input logs based on the identified patterns. It is determined that the predictive features indicate a future system failure using a first model. A second model is trained, based on a target sample from the predictive features and based on weights associated with a distance between the target sample and a set of samples from the predictive features, to identify one or more parameters of the second model associated with the future system failure. A system maintenance action is performed in accordance with the identified one or more parameters.
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公开(公告)号：US20190095313A1
公开(公告)日：2019-03-28
申请号：US16037354
申请日：2018-07-17
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Hui Zhang , Haifeng Chen , Bin Nie
Abstract: Methods and systems for system maintenance include identifying patterns in heterogeneous logs. Predictive features are extracted from a set of input logs based on the identified patterns. It is determined that the predictive features indicate a future system failure using a first model. A second model is trained, based on a target sample from the predictive features and based on weights associated with a distance between the target sample and a set of samples from the predictive features, to identify one or more parameters of the second model associated with the future system failure. A system maintenance action is performed in accordance with the identified one or more parameters.
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