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    HIERARCHICAL DATA EXCHANGE MANAGEMENT SYSTEM
    2.
    发明申请
    HIERARCHICAL DATA EXCHANGE MANAGEMENT SYSTEM 有权

    公开(公告)号：US20210160343A1

    公开(公告)日：2021-05-27

    申请号：US17167854

    申请日：2021-02-04

    Applicant: General Electric Company

    Inventor： Scott Charles Evans ,  Benjamin Edward Beckmann ,  John William Carbone

    IPC: H04L29/08 ,  G06F21/62 ,  G06Q30/02 ,  H04L9/32

    Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.

    System and method for optimizing wind farm performance
    3.
    发明授权
    System and method for optimizing wind farm performance 有权

    公开(公告)号：US10253758B2

    公开(公告)日：2019-04-09

    申请号：US14493455

    申请日：2014-09-23

    Applicant: General Electric Company

    Inventor： Steven Jay Tyber ,  Jianhui Chen ,  Scott Charles Evans ,  Kiersten Marie Ralston

    IPC: F03D7/04 ,  G05B15/02 ,  F03D17/00 ,  F03D9/25 ,  F03D80/70 ,  F03D15/10

    Abstract: The present disclosure is directed to systems and methods for optimizing power output of a wind farm. The method includes determining baseline loading condition(s) for wind turbines of the wind farm and defining a baseline threshold value for the load sensors. Another step includes identifying at least one wind turbine having at least one load sensor operating below the baseline threshold value. An upgrade is then provided to the identified wind turbine. In response to the upgrade, the method includes determining whether the load sensor of the identified wind turbine continues to operate below the baseline threshold value. The method also includes classifying an additional load sensor(s) of an additional wind turbine with respect to the load sensor of the identified wind turbine to determine whether to provide the additional wind turbine with the upgrade.

    SYSTEMS AND METHODS FOR MONITORING SYSTEM PERFORMANCE AND AVAILABILITY.
    4.
    发明申请
    SYSTEMS AND METHODS FOR MONITORING SYSTEM PERFORMANCE AND AVAILABILITY. 有权
    用于监测系统性能和可用性的系统和方法。

    公开(公告)号：US20140365638A1

    公开(公告)日：2014-12-11

    申请号：US13914986

    申请日：2013-06-11

    Applicant: General Electric Company

    Inventor： Mohak Shah ,  Scott Charles Evans ,  Budhaditya Deb ,  Anthony Gerard Gargulak ,  Thomas Lasky ,  Manoj Mehta

    IPC: H04L12/26

    CPC classification number: H04L41/147 ,  H04L41/5012 ,  H04L41/5096 ,  H04L43/0852 ,  H04L43/0888 ,  H04L43/16 ,  H04L63/00 ,  H04L67/10

    Abstract: A prognostics module includes a systems analysis module and a determination module. The systems analysis module is configured to obtain operational information corresponding to a system-wide operation of a multi-element system. The multi-element system includes multiple elements communicatively coupled by at least one common communication link. The determination module is configured to determine a future health of at least one of the multiple elements of the multi-element system using the operational information corresponding to the system-wide operation of the multi-element system.

    Abstract translation: 预测模块包括系统分析模块和确定模块。 系统分析模块被配置为获得对应于多元件系统的全系统操作的操作信息。 多元素系统包括通过至少一个公共通信链路通信耦合的多个元件。 确定模块被配置为使用与多元素系统的全系统操作相对应的操作信息来确定多元素系统的多个元素中的至少一个元素的未来健康状况。

    SYSTEMS AND METHODS FOR REMOTE MONITORING, SECURITY, DIAGNOSTICS, AND PROGNOSTICS
    5.
    发明申请
    SYSTEMS AND METHODS FOR REMOTE MONITORING, SECURITY, DIAGNOSTICS, AND PROGNOSTICS 有权
    用于远程监控，安全，诊断和预防的系统和方法

    公开(公告)号：US20140289852A1

    公开(公告)日：2014-09-25

    申请号：US13848354

    申请日：2013-03-21

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Scott Charles Evans ,  Richard Brownell Arthur ,  Bouchra Bouqata ,  Piyush Mishra ,  Weizhong Yan ,  Anil Varma

    IPC: G06F21/57

    CPC classification number: G06F21/55

    Abstract: A system includes a physical analysis module, a cyber analysis module, and a determination module. The physical analysis module is configured to obtain physical diagnostic information, and to determine physical analysis information using the physical diagnostic information. The cyber analysis module is configured to obtain cyber security data of the functional system, and to determine cyber analysis information using the cyber security data. The determination module is configured to obtain the physical analysis information and the cyber analysis information, and to determine a state of the functional system using the physical analysis information and the cyber analysis information. The state determined corresponds to at least one of physical condition or cyber security threat. The determination module is also configured to identify if the state corresponds to one or more of a non-malicious condition or a malicious condition.

    Abstract translation: 系统包括物理分析模块，网络分析模块和确定模块。 物理分析模块被配置为获得物理诊断信息，并且使用物理诊断信息来确定物理分析信息。 网络分析模块被配置为获取功能系统的网络安全数据，并使用网络安全数据来确定网络分析信息。 确定模块被配置为获得物理分析信息和网络分析信息，并且使用物理分析信息和网络分析信息来确定功能系统的状态。 所确定的状态对应于身体状况或网络安全威胁中的至少一种。 确定模块还被配置为识别该状态是否对应于非恶意条件或恶意条件中的一个或多个。

    HIERARCHICAL DATA EXCHANGE MANAGEMENT SYSTEM
    8.
    发明申请
    HIERARCHICAL DATA EXCHANGE MANAGEMENT SYSTEM 有权

    公开(公告)号：US20220256013A1

    公开(公告)日：2022-08-11

    申请号：US17727342

    申请日：2022-04-22

    Applicant: General Electric Company

    Inventor： Scott Charles Evans ,  Benjamin Edward Beckmann ,  John William Carbone

    IPC: H04L67/63 ,  G06F21/62 ,  H04L67/565 ,  H04L9/32 ,  H04L67/53 ,  G06Q30/02 ,  H04L67/50 ,  H04L67/306 ,  H04L9/00

    Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.

    Methods, systems, apparatus, and storage media for use in detecting anomalous behavior and/or in preventing data loss
    9.
    发明授权
    Methods, systems, apparatus, and storage media for use in detecting anomalous behavior and/or in preventing data loss 有权

    公开(公告)号：US10192050B2

    公开(公告)日：2019-01-29

    申请号：US14964829

    申请日：2015-12-10

    Applicant: General Electric Company

    Inventor： Abhishek Srivastav ,  Shiva Prasad Kasiviswnathan ,  Scott Charles Evans ,  Philip Paul Beauchamp

    IPC: G06F21/55 ,  G06F21/60

    Abstract: In one aspect, a method includes: receiving information defining a plurality of different actions that may be performed by users; receiving information indicating a relative frequency at which each of the different actions was performed by each of a plurality of users over each of one or more periods of time; determining a plurality of different characteristic behaviors based at least in part on the information indicating the relative frequency at which each of the different actions was performed by each of the plurality of users over each of one or more periods of time, wherein each one of the different characteristic behaviors defines a relative frequency of performance of each of the different actions; receiving information indicating a relative frequency at which each of the different actions was performed by a user over a period of time; and determining a representation of the relative frequency at which each of the different actions was performed by the user over the period of time as a weighted combination of the different characteristic behaviors each of which defines a relative frequency of performance of each of the different actions.

    METHODS, SYSTEMS, APPARATUS, AND STORAGE MEDIA FOR USE IN DETECTING ANOMALOUS BEHAVIOR AND/OR IN PREVENTING DATA LOSS
    10.
    发明申请
    METHODS, SYSTEMS, APPARATUS, AND STORAGE MEDIA FOR USE IN DETECTING ANOMALOUS BEHAVIOR AND/OR IN PREVENTING DATA LOSS 审中-公开

    公开(公告)号：US20170213025A1

    公开(公告)日：2017-07-27

    申请号：US14964829

    申请日：2015-12-10

    Applicant: General Electric Company

    Inventor： Abhishek Srivastav ,  Shiva Prasad Kasiviswnathan ,  Scott Charles Evans ,  Philip Paul Beauchamp

    IPC: G06F21/55 ,  G06F21/60

    CPC classification number: G06F21/552 ,  G06F21/60 ,  G06F2221/034

    Abstract: In one aspect, a method includes: receiving information defining a plurality of different actions that may be performed by users; receiving information indicating a relative frequency at which each of the different actions was performed by each of a plurality of users over each of one or more periods of time; determining a plurality of different characteristic behaviors based at least in part on the information indicating the relative frequency at which each of the different actions was performed by each of the plurality of users over each of one or more periods of time, wherein each one of the different characteristic behaviors defines a relative frequency of performance of each of the different actions; receiving information indicating a relative frequency at which each of the different actions was performed by a user over a period of time; and determining a representation of the relative frequency at which each of the different actions was performed by the user over the period of time as a weighted combination of the different characteristic behaviors each of which defines a relative frequency of performance of each of the different actions.

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