机译:具有小标有红外热图像的转子系统智能故障诊断方法,从CAE转移增强CNN
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 China;
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 China;
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 China;
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 China;
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 China;
Rotor-bearing system fault diagnosis; Infrared thermal images; Enhanced convolutional neural network; Parameter transfer; Small labeled samples;
机译:改性转移卷积神经网络和热图像下变化的工作条件下转子系统智能故障诊断
机译:基于红外热图像深度学习分析的冷却散热器智能故障诊断
机译:基于红外热图像处理技术的冷却散热器故障智能诊断方法
机译:带有稀有标签样本的旋转机械故障诊断:一种基于浅层模型知识转移的深度CNN方法
机译:智能信号/图像处理,用于故障诊断和预后。
机译:基于改进的CNN-SVM和多通道数据融合的旋转机械智能故障诊断深度学习新方法
机译:改性转移卷积神经网络和热图像下变化的工作条件下转子系统智能故障诊断