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    SYSTEMS AND METHODS FOR WIND TURBINE NACELLE-POSITION RECALIBRATION AND WIND DIRECTION ESTIMATION
    1.
    发明申请
    SYSTEMS AND METHODS FOR WIND TURBINE NACELLE-POSITION RECALIBRATION AND WIND DIRECTION ESTIMATION 审中-公开
    用于风力涡轮机位置调节和风向方向估计的系统和方法

    公开(公告)号：US20150345476A1

    公开(公告)日：2015-12-03

    申请号：US14291140

    申请日：2014-05-30

    Applicant: General Electric Company

    Inventor： Peter Alan Gregg ,  Megan Michela Wilson ,  Siddhanth Chandrashekar ,  Vineel Chandrakanth Gujjar ,  Manisha Srivastava ,  Colin Craig McCulloch

    IPC: F03D11/00

    CPC classification number: F03D17/00 ,  F03D7/048 ,  F05B2270/802 ,  Y02E10/723

    Abstract: A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance.

    Abstract translation: 用于重新校准风力发电场中的多个风力涡轮机的机舱位置的计算机实现的方法由包括耦合到处理器的处理器和存储器件的机舱校准计算设备实现。 该方法包括识别包括在风力公园内的至少两个相关联的风力涡轮机，其中每个相关联的风力涡轮机包括位置信息，至少部分地基于每个相关联的风力涡轮机的位置信息确定相关风力涡轮机的多个预测的尾流特征， 检索与相关联的风力涡轮机相关的多个历史性能数据，基于所述多个历史性能数据确定多个当前唤醒特征，识别所述预测尾迹​​特征与所述当前唤醒特征之间的差异，以及确定重新校准因子 基于所识别的方差的相关风力涡轮机中的至少一个。

    ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS
    3.
    发明申请
    ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS 审中-公开
    分析细胞中生物标志物的表达

    公开(公告)号：US20140185905A1

    公开(公告)日：2014-07-03

    申请号：US14197558

    申请日：2014-03-05

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Colin Craig McCulloch ,  Fiona Ginty ,  Christopher James Sevinsky ,  Qing Li

    IPC: G06K9/00 ,  G01N33/50

    CPC classification number: G06K9/00147 ,  G01N33/5091 ,  G01N33/57434 ,  G01N2800/52 ,  G01N2800/56 ,  G01N2800/60 ,  G06K9/6231

    Abstract: A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.

    Abstract translation: 存储小区简档数据的数据集。 细胞谱图数据包括描述多个生物标志物的表达的多重生物统计图像数据。 从具有与共性相关的评估的患者队列中抽取的组织样品产生细胞谱图数据。 从数据集中生成多组类似的单元; 检查每个组中细胞的比例与诊断，预后或反应的关联; 并基于模型性能选择一组预测集群。 基于多组聚类中的至少一个模型的性能的比较来选择一组预测集群。 公开了有助于理解集群特征的显示技术。

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