机译:基于监督机器学习算法的风轮机叶片损伤检测
Department of Mechanical Engineering, University of Massachusetts Lowell, Lowell, MA, United States;
Department of Mechanical Engineering, University of Massachusetts Lowell, Lowell, MA, United States;
Department of Mechanical Engineering, University of Massachusetts Lowell, 1 University Avenue, Lowell, MA, United States;
health monitoring; logistic regression; machine learning; support vector machine; Wind turbine blades;
机译:使用机器学习算法的风力涡轮机叶片裂纹检测与定位:数据挖掘方法
机译:基于机器学习的新方法,运行风力涡轮机叶片损坏检测
机译:基于监督的基于振动的统计方法,用于在各种环境条件下进行损伤检测,以及使用比例风轮机叶片进行实验室评估
机译:各种机器学习算法的风轮机叶片损伤检测
机译:机器学习风力涡轮机叶片中的异常检测
机译:基于监督机器学习的风力发电机齿轮箱轴承预后分析
机译:风力涡轮机叶片损坏使用监督机学习算法检测