首页> 外国专利> OPERATING A WIND TURBINE WITH SENSORS IMPLEMENTED BY A TRAINED MACHINE LEARNING MODEL

OPERATING A WIND TURBINE WITH SENSORS IMPLEMENTED BY A TRAINED MACHINE LEARNING MODEL

机译:操作带有由培训的机器学习模型实现的传感器的风力涡轮机

摘要

The present invention relates to a method of operating a wind turbine with an operational parameter where values of the operational parameter are obtained by different sensors and compared to determine the validity of the value. A first value and a second value of the operational parameter are obtained different sensors and validated by comparing the two values. The wind turbine being operated using a validated value as the operational parameter. The two sensors are selected among a trained machine learning model, a reference sensor and a computerized physical model.
机译:本发明涉及一种操作风力涡轮机的方法,其中具有操作参数的操作参数,其中通过不同的传感器获得操作参数的值,并比较以确定值的有效性。获得操作参数的第一个值和第二值,通过比较两个值来获得不同的传感器并验证。使用验证值作为操作参数操作的风力涡轮机。两个传感器是在训练有素的机器学习模型,参考传感器和计算机化物理模型中选择的传感器。

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