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    SYSTEMS AND METHODS FOR VALIDATING WIND FARM PERFORMANCE IMPROVEMENTS
    21.
    发明申请
    SYSTEMS AND METHODS FOR VALIDATING WIND FARM PERFORMANCE IMPROVEMENTS 审中-公开
    用于验证风力发电机性能改进的系统和方法

    公开(公告)号：US20160265513A1

    公开(公告)日：2016-09-15

    申请号：US14644743

    申请日：2015-03-11

    Applicant: General Electric Company

    Inventor： Scott Charles Evans ,  Zhanpan Zhang ,  Peter Alan Gregg ,  Kevin Wayne Kinzie ,  William Arthur Flodder ,  Mark Nicolaas Jonkhof ,  Megan Michela Wilson

    IPC: F03D9/00 ,  F03D7/00

    CPC classification number: F03D13/30 ,  F03D7/048 ,  F03D9/257 ,  F03D17/00 ,  F05B2230/80 ,  F05B2270/32 ,  F05B2270/335 ,  Y02E10/723 ,  Y02P70/523

    Abstract: The present disclosure is directed to systems and methods for validating wind farm performance improvements so as to optimize wind farm performance. In one embodiment, the method includes operating, via a controller, the wind farm in a first operating mode. Another step includes collecting a first set of operating data, via a processor, during the first operating mode. A further step includes operating, via the controller, the wind farm in a second operating mode. The method also includes collecting a second set of operating data, via the processor, during the second operating mode. Next, the method includes normalizing the first and second sets of operating data based on wind speed distributions. As such, another step includes comparing, via the processor, the normalized first and second sets of operating data so as to validate one or more wind farm performance measurements.

    Abstract translation: 本公开涉及用于验证风电场性能改进的系统和方法，以便优化风电场性能。 在一个实施例中，该方法包括经由控制器以第一操作模式操作风电场。 另一步骤包括在第一操作模式期间经由处理器收集第一组操作数据。 另一步骤包括经由控制器以第二操作模式操作风电场。 该方法还包括在第二操作模式期间经由处理器收集第二组操作数据。 接下来，该方法包括基于风速分布来归一化第一和第二组操作数据。 因此，另一步骤包括经由处理器比较归一化的第一和第二组操作数据，以便验证一个或多个风电场性能测量。

    SYSTEMS AND METHODS FOR VALIDATING WIND FARM PERFORMANCE MEASUREMENTS
    22.
    发明申请
    SYSTEMS AND METHODS FOR VALIDATING WIND FARM PERFORMANCE MEASUREMENTS 有权
    用于验证风力发电机性能测量的系统和方法

    公开(公告)号：US20160084233A1

    公开(公告)日：2016-03-24

    申请号：US14493464

    申请日：2014-09-23

    Applicant: General Electric Company

    Inventor： Scott Charles Evans ,  Zhanpan Zhang ,  Peter Alan Gregg ,  Satish G. Iyengar

    IPC: F03D11/00 ,  F03D9/00 ,  F03D7/00

    CPC classification number: F03D17/00 ,  F03D7/048 ,  F03D9/257 ,  F05B2260/84 ,  F05D2270/20 ,  F05D2270/335 ,  H02J3/00 ,  H02J3/386 ,  H02J2003/007 ,  Y02E10/723 ,  Y02E10/763 ,  Y02E60/76 ,  Y04S40/22

    Abstract: The present disclosure is directed to systems and methods for validating and/or identifying wind farm performance measurements so as to optimize wind farm performance. The method includes measuring operating data from one or more wind turbines of the farm. Another step includes generating a plurality of baseline models of performance of the wind farm from at least a portion of the operating data. Thus, each of the baseline models of performance is developed from a different portion of operating data so as to provide comparable models. The method also includes selecting an optimal baseline model and comparing the optimal baseline model with actual performance of the wind farm. In a particular embodiment, the actual performance of the wind farm is determined after one or more wind turbines of the wind farm is modified by one or more upgrades.

    Abstract translation: 本公开涉及用于验证和/或识别风电场性能测量的系统和方法，以便优化风电场性能。 该方法包括测量来自农场的一个或多个风力涡轮机的操作数据。 另一步骤包括从至少一部分操作数据生成风力场的多个基准模型。 因此，性能的每个基准模型是从不同部分的操作数据开发的，以便提供可比较的模型。 该方法还包括选择最佳基线模型，并将最佳基线模型与风电场的实际性能进行比较。 在特定实施例中，在风力发电场的一个或多个风力涡轮机被一个或多个升级修改之后确定风电场的实际性能。

    Systems and methods for data loss prevention
    24.
    发明授权
    Systems and methods for data loss prevention 有权

    公开(公告)号：US10346616B2

    公开(公告)日：2019-07-09

    申请号：US13942318

    申请日：2013-07-15

    Applicant: General Electric Company

    Inventor： Shiva Prasad Kasiviswanathan ,  Lei Wu ,  Daniel Edward Marthaler ,  Scott Charles Evans ,  Varian Paul Powles ,  Philip Paul Beauchamp

    IPC: G06F7/04 ,  G06F17/30 ,  H04N7/16 ,  G06F21/60 ,  G06F21/55

    Abstract: One method for developing a data loss prevention model includes receiving, at a processing device, an event record corresponding to an operation performed on a computing device. The event record includes an event type and event data. The method also includes transforming, using the processing device, the event type to an event number corresponding to the event type. The method includes transforming, using the processing device, the event data to a numerical representation of the event data. The method includes associating an indication of whether the event type and the event data correspond to a data loss event with the event number and the numerical representation. The method also includes determining the data loss prevention model using the indication, the event number, and the numerical representation.

    System and method for fault detection in an electrical device
    27.
    发明授权
    System and method for fault detection in an electrical device 有权
    电气设备中故障检测的系统和方法

    公开(公告)号：US09394899B2

    公开(公告)日：2016-07-19

    申请号：US14105819

    申请日：2013-12-13

    Applicant: General Electric Company

    Inventor： Dustin Ross Garvey ,  Scott Charles Evans ,  Bing Hu

    IPC: G06F11/30 ,  F04B51/00 ,  E21B43/12 ,  F04B47/06 ,  F04B49/06

    CPC classification number: F04B51/00 ,  E21B43/128 ,  F04B47/06 ,  F04B49/065 ,  F04B2201/0802 ,  F04B2203/0201 ,  F04B2203/0202 ,  F04B2205/05

    Abstract: A method for fault detection includes selecting a measured parameter from a subsurface electrical device and obtaining a plurality of samples for the measured parameter. The method also includes removing at least one invalid sample from the plurality of samples to generate a remaining number of samples. The method further includes computing a diagnostic parameter based on the remaining number of samples, if the remaining number of samples is greater than a predefined threshold number and terminating the method otherwise. The method also includes obtaining a rule from a plurality of rules stored in a database, based on the diagnostic parameter. The rule is indicative of a standard operating condition of the subsurface electrical device. The method further includes evaluating whether the determined diagnostic parameter satisfies the obtained rule, to generate an output and determining a measured operating condition of the subsurface electrical device based on the output.

    Abstract translation: 一种用于故障检测的方法包括从地下电气设备中选择测量的参数并获得所测量的参数的多个样本。 该方法还包括从多个样本中去除至少一个无效样本以产生剩余数量的样本。 该方法还包括如果剩余的采样数量大于预定义的阈值数量并且否则终止该方法，则基于剩余样本数量来计算诊断参数。 该方法还包括基于诊断参数从存储在数据库中的多个规则获得规则。 该规则表示地下电气设备的标准操作条件。 该方法还包括基于输出来评估确定的诊断参数是否满足所获得的规则，以产生输出并确定地下电气设备的测量操作条件。

    SYSTEM AND METHOD FOR OPTIMIZING WIND FARM PERFORMANCE
    28.
    发明申请
    SYSTEM AND METHOD FOR OPTIMIZING WIND FARM PERFORMANCE 审中-公开
    用于优化风力发电机性能的系统和方法

    公开(公告)号：US20160084224A1

    公开(公告)日：2016-03-24

    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

    CPC classification number: F03D7/048 ,  F03D9/257 ,  F03D15/10 ,  F03D17/00 ,  F03D80/70 ,  F05B2270/335 ,  G05B15/02 ,  Y02E10/72

    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.

    Abstract translation: 本公开涉及用于优化风力发电场的功率输出的系统和方法。 该方法包括确定风力发电场的风力涡轮机的基线负载状况，并为负载传感器定义基准阈值。 另一步骤包括识别至少一个风力涡轮机，其具有低于基准阈值的至少一个负载传感器。 然后将升级提供给所识别的风力涡轮机。 响应于升级，该方法包括确定所识别的风力涡轮机的负载传感器是否继续运行低于基准阈值。 该方法还包括相对于所识别的风力涡轮机的负载传感器对额外的风力涡轮机的附加负载传感器进行分类，以确定是否为额外的风力涡轮机提供升级。

    SYSTEM AND METHOD USING GENERATIVE MODEL TO SUPPLEMENT INCOMPLETE INDUSTRIAL PLANT INFORMATION
    29.
    发明申请
    SYSTEM AND METHOD USING GENERATIVE MODEL TO SUPPLEMENT INCOMPLETE INDUSTRIAL PLANT INFORMATION 审中-公开
    使用生成模型补充不完全工业植物信息的系统和方法

    公开(公告)号：US20160004794A1

    公开(公告)日：2016-01-07

    申请号：US14322488

    申请日：2014-07-02

    Applicant: General Electric Company

    Inventor： Johan Michael Reimann ,  Christopher Donald Johnson ,  Dongrui Wu ,  Scott Charles Evans ,  Richard Edward Kleinhample ,  Achalesh K. Pandey

    IPC: G06F17/50 ,  G06F17/18

    CPC classification number: G06F17/5004

    Abstract: According to some embodiments, a model building platform may receive a set of historic industrial plant parameters associated with operation of a plurality of industrial plants over a period of time. The model building platform may automatically create a generative model based on relationships detected within the set of historic industrial plant parameters. A model execution platform may then receive incomplete industrial plant information associated with a particular industrial plant, and automatically generate supplemented industrial plant data based on the received incomplete industrial plant information and the generative model. An indication of the supplemented industrial plant data may then be output.

    Abstract translation: 根据一些实施例，模型构建平台可以在一段时间内接收与多个工业设备的操作相关联的一组历史工业设备参数。 模型构建平台可以根据历史工厂参数集中检测到的关系自动创建生成模型。 然后，模型执行平台可以接收与特定工业工厂相关联的不完整的工厂工厂信息，并且基于所接收的不完整的工厂设备信息和生成模型自动生成补充的工业工厂数据。 然后可以输出补充的工业工厂数据的指示。

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