SCADA systems; artificial intelligence; condition monitoring; electrical maintenance; fault diagnosis; neural nets; wind turbines; AI method; ANN model; SCADA data; artificial intelligence; artificial neural network; asset management; condition monitoring systems; fault prognosis; maintenance management; self evolving neural network based algorithm; supervisory control and data acquisition system; wind turbine components; Artificial neural networks; Data models; Temperature distribution; Temperature measurement; Training; Training data; Wind turbines; Artificial neural networks (ANN); SCADA system; condition monitoring (CMS); electricity generation;
机译:基于卡尔曼滤波器和人工神经网络的浮风式汽轮机叶片间距系统的故障检测与诊断
机译:基于变分模式分解和深卷积神经网络的风力涡轮机滚动轴承故障诊断
机译:一种基于在线训练神经网络的新型风速估计算法和PMSG风力发电机系统的自适应控制,以获取最大功率
机译:风力涡轮机故障预后的自我不断发展的神经网络算法 - 以案例研究
机译:基于人工神经网络和指数加权移动平均的优化模型和算法的风力机智能维修系统。
机译:基于余弦损失的优化LSTM神经网络的风力发电机齿轮箱故障诊断。
机译:基于自进化神经网络的风力发电机组故障预测算法