Control system and method for mitigating rotor imbalance on a wind turbine
    4.
    发明授权
    Control system and method for mitigating rotor imbalance on a wind turbine 有权
    用于减轻风力涡轮机转子不平衡的控制系统和方法

    公开(公告)号:US09587627B2

    公开(公告)日:2017-03-07

    申请号:US13932692

    申请日:2013-07-01

    Abstract: A wind turbine includes multiple blades, multiple Micro Inertial Measurement Units (MIMUs) for sensing parameter signals of the blades, and a control system. The control system includes a blade bending moment calculation unit, a blade bending moment error signal calculation unit, and a pitch angle compensation command calculation unit. The blade bending moment calculation unit is used for calculating blade bending moment values of the blades based at least on the sensed parameters. The blade bending moment error signal calculation unit is used for calculating blade bending moment error signals of the blades based on the calculated blade bending moment values of the blades and multiple blade bending moment commands. The pitch angle compensation command calculation unit is used for calculating pitch angle compensation commands of the blades based on the calculated blade bending moment error signals to adjust pitch angles of the blades respectively.

    Abstract translation: 风力涡轮机包括多个叶片,用于感测叶片的参数信号的多个微惯性测量单元(MIMU)和控制系统。 控制系统包括叶片弯矩计算单元,叶片弯矩误差信号计算单元和俯仰角补偿指令计算单元。 叶片弯矩计算单元用于至少基于所感测的参数来计算叶片的叶片弯矩值。 刀片弯矩误差信号计算单元用于根据叶片的计算叶片弯矩值和多叶片弯矩命令来计算叶片的叶片弯矩误差信号。 桨距角补偿指令计算单元用于基于所计算的叶片弯矩误差信号来计算叶片的俯仰角补偿命令,以分别调节叶片的桨距角。

    METHODS AND SYSTEMS FOR IDENTIFYING A PRECURSOR TO A FAILURE OF A COMPONENT IN A PHYSICAL SYSTEM
    6.
    发明申请
    METHODS AND SYSTEMS FOR IDENTIFYING A PRECURSOR TO A FAILURE OF A COMPONENT IN A PHYSICAL SYSTEM 审中-公开
    将前体识别为物理系统中组分失效的方法和系统

    公开(公告)号:US20140188777A1

    公开(公告)日:2014-07-03

    申请号:US13728572

    申请日:2012-12-27

    CPC classification number: G06N5/04 G06F11/008

    Abstract: A computer-implemented system for identifying a precursor to a failure of a particular type of component in a physical system is provided. The physical system includes sensors coupled to the physical system. The computer-implemented system includes a computing device, a database, a processor, and a memory device. The memory device includes historical data including sensor measurements. When instructions are executed by the processor, the processor receives the historical data from the memory device. The processor generates a predictive model. The predictive model uses, as inputs, sensor measurements in the historical data. The predictive model is able to differentiate between sensor measurements taken before the repair event and those taken after the repair event without a time of the repair event being an input to the predictive model. The processor designates at least one sensor measurements used as inputs to the predictive model as precursors to the failure of the component.

    Abstract translation: 提供了一种用于识别物理系统中特定类型的组件的故障的前兆的计算机实现的系统。 物理系统包括耦合到物理系统的传感器。 计算机实现的系统包括计算设备,数据库,处理器和存储设备。 存储器件包括包括传感器测量的历史数据。 当处理器执行指令时,处理器从存储器件接收历史数据。 处理器生成预测模型。 预测模型使用历史数据中的传感器测量作为输入。 该预测模型能够区分在修复事件之前进行的传感器测量与在修复事件之后进行的传感器测量之间,而没有修复事件的时间是预测模型的输入。 处理器指定用作预测模型的输入的至少一个传感器测量值作为组件故障的前兆。

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