机译:使用机器学习方法基于局部放电诊断的状态监测:全面的最先进的评论
School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia;
School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia;
School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia;
School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia;
Partial discharges; Industries; Condition monitoring; Training; Machine learning algorithms; Focusing; Real-time systems;
机译:The State-of-the-Art Review on Applications of Intrusive Sensing,Image Processing Techniques,and Machine Learning Methods in Pavement Monitoring and Analysis
机译:The State-of-the-Art Review on Applications of Intrusive Sensing,Image Processing Techniques,and Machine Learning Methods in Pavement Monitoring and Analysis
机译:通过机器学习集成方法改善基于RF的局部放电定位
机译:局部放电方法调节石化设施旋转机械驱动隔离的状态监测与诊断
机译:分析哈索尼亚监控和机器学习方法的亚马逊CD评论
机译:特征工程结合机器学习和基于规则的方法从叙述性临床出院摘要中提取结构化信息
机译:电气机中的局部放电 - 适用于电机的第一部分:基于快速开关半导体的电动驱动器表征的全面建模工具