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1.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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公开(公告)号：US20160161374A1
公开(公告)日：2016-06-09
申请号：US14961519
申请日：2015-12-07
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Guofei Jiang , Haifeng Chen , Kai Zhang
IPC: G01M99/00
CPC classification number: G07C3/00 , G05B23/0232 , G05B23/0283
Abstract: Systems and methods for managing components of physical systems, including decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time. The optimization problem is transformed into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the constraints being merged together to reduce computational costs. An aging score and a confidence score are generated for the extracted aging trend to determine a severeness of aging for one or more components of the physical system, and the aging score and confidence score are fused to provide a fused ranking for the extracted aging trend for predicting future failures of the components.
Abstract translation: 用于管理物理系统组件的系统和方法，包括通过使用优化问题的目标函数从时间序列中提取老化趋势和波动项来分解原始时间序列，目标函数最小化重建误差并确保波动项的平坦度 随着时间的推移。 优化问题被转换成二次规划（QP）公式，包括单调约束和非负性约束，将约束合并在一起以降低计算成本。 对于提取的老化趋势产生老化评分和置信度分数，以确定物理系统的一个或多个组分的老化度，并且老化得分和置信度得分被融合，以提供提取的老化趋势的融合排名 预测组件的未来故障。
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公开(公告)号：US20180365696A1
公开(公告)日：2018-12-20
申请号：US15982496
申请日：2018-05-17
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Haifeng Chen , Ajiro Yasuhiro
Abstract: Systems and methods for mitigating fraud in transactions including clustering account holders into groups with a cluster generator by jointly considering account activities as features in a clustering algorithm such that account holders in each group have similar behavior according to analysis of the features in the clustering algorithm. In each group, a list of suspicious transactions is detected with a suspicious behavior detector by determining outlier transactions for a transaction type of interest relative to transactions of each account holder in a group. An alert is generated and sent to users with a fraud suspicion response system to mitigate the suspicious transactions.
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公开(公告)号：US20160239000A1
公开(公告)日：2016-08-18
申请号：US15003395
申请日：2016-01-21
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Haifeng Chen , Guofei Jiang
CPC classification number: G05B13/0265 , G06F17/18 , G06K9/00557 , G06K9/6277 , G06K9/66
Abstract: A process to control a machine by receiving data captured from one or more sensors in the machine generating high-dimensional time series sets in a machine; performing structure precomputing to obtain structures of different sets and time series in each set; performing supervised distance learning by imposing label information to the obtained structures, learning a transformation matrix; transforming the data to shrink a distance between sets with the same label and to stretch the distance between sets with different labels; and applying the transformed data to control the machine responsive to the time series data.
Abstract translation: 通过接收从机器中生成高维度时间序列组的机器中的一个或多个传感器获取的数据来控制机器的过程; 执行结构预计算以获得每组中不同集合和时间序列的结构; 通过对所获得的结构施加标签信息来执行监督的距离学习，学习变换矩阵; 转换数据以缩小具有相同标签的集合之间的距离，并且利用不同的标签来拉伸集合之间的距离; 以及响应于时间序列数据应用经变换的数据来控制机器。
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公开(公告)号：US20160154802A1
公开(公告)日：2016-06-02
申请号：US14956352
申请日：2015-12-01
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Guofei Jiang , Haifeng Chen , Mizoguchi Takehiko
IPC: G06F17/30
CPC classification number: G05B19/4184 , G05B2219/32179 , Y02P90/14 , Y02P90/22
Abstract: Systems and methods for quality control for physical systems, including a quality control engine for transforming raw time series data collected from each of a plurality of sensors in the physical system into one or more sets of feature series by extracting features from the raw time series. Feature ranking scores are generated for each of the sensors by ranking each of the features using an ensemble of feature rankers, and fused importance scores are generated by aggregating the feature ranking scores for each of the sensors and combining ranking scores from each ranker in the ensemble. System quality is controlled by identifying sensors responsible for quality degradation based on the fused importance scores.
Abstract translation: 用于物理系统的质量控制的系统和方法，包括质量控制引擎，用于通过从原始时间序列中提取特征，将从物理系统中的多个传感器中的每一个收集的原始时间序列数据转换成一组或多组特征序列。 通过使用特征排列器的集合对每个特征进行排序来生成每个传感器的特征排名分数，并且通过聚合每个传感器的特征排名得分并组合来自集合中的每个游客的排名得分来生成融合重要度分数 。 基于融合重要性分数，识别负责质量退化的传感器来控制系统质量。
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Patent Agency Ranking
公开(公告)号：US10671029B2
公开(公告)日：2020-06-02
申请号：US16009822
申请日：2018-06-15
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Haifeng Chen , LuAn Tang
Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection. The method includes receiving, by a processor, sensor data from a plurality of sensors in a system. The method also includes generating, by the processor, a relationship model based on the sensor data. The method additionally includes updating, by the processor, the relationship model with new sensor data. The method further includes identifying, by the processor, an anomaly based on a fused single-variant time series fitness score in the relationship model. The method also includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the anomaly.
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7.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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公开(公告)号：US20180365697A1
公开(公告)日：2018-12-20
申请号：US15983387
申请日：2018-05-18
Applicant: NEC Laboratories America, Inc. , NEC Corporation
Inventor： Tan Yan , Haifeng Chen , Ajiro Yasuhiro
Abstract: A system, method, and computer program product are provided for suspicious remittance detection for a set of users. The method includes detecting, by a processor, unrealistic user location movements, based on login activities and remittance activities. The method includes detecting, by the processor, abnormal user remittance behavior based on account activities and the remittance activities by detecting any users who are silent for a threshold period of time and thereafter remit an amount of money greater than a threshold money amount. The method includes detecting, by the processor, abnormal overall user behavior, based a joint user profile determined across all users from the login activities, the remittance activities, and the account activities. The method includes aggregating, by the processor, detection results to generate a final list of suspicious transactions. The method includes performing, by the processor, loss preventative actions for each of the suspicious transactions in the final list.
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公开(公告)号：US10403056B2
公开(公告)日：2019-09-03
申请号：US14961519
申请日：2015-12-07
Applicant: NEC Laboratories America, Inc.
Inventor： Tan Yan , Guofei Jiang , Haifeng Chen , Kai Zhang
Abstract: Systems and methods for managing components of physical systems, including decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time. The optimization problem is transformed into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the constraints being merged together to reduce computational costs. An aging score and a confidence score are generated for the extracted aging trend to determine a severeness of aging for one or more components of the physical system, and the aging score and confidence score are fused to provide a fused ranking for the extracted aging trend for predicting future failures of the components.
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公开(公告)号：US20180365665A1
公开(公告)日：2018-12-20
申请号：US15983415
申请日：2018-05-18
Applicant: NEC Laboratories America, Inc. , NEC Corporation
Inventor： Tan Yan , Haifeng Chen , Ajiro Yasuhiro
Abstract: A method is provided for banking with suspicious remittance detection for a set of users. The method includes detecting, by a server having a processor operatively coupled to a memory, unrealistic user location movements, based on login activities and remittance activities. The method includes detecting abnormal user remittance behavior based on account activities and the remittance activities by detecting any users who are silent for a threshold period of time and thereafter remit an amount of money greater than a threshold money amount. The method includes detecting abnormal overall user behavior, based a joint user profile determined across all users from the login, remittance, and account activities. The method includes aggregating detection results to generate a final list of suspicious transactions. The method includes performing a loss preventative action for the suspicious transactions in the final list by preventing a completion of the suspicious transactions and notifying bank personnel.
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