#Te Han

Intelligent fault diagnosis method for rotating machinery via dictionary learning and sparse representation-based classification

动力设备故障诊断实验室 , 清华大学

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition

动力设备故障诊断实验室 , 清华大学

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

动力设备故障诊断实验室 , 清华大学

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

动力设备故障诊断实验室 , 清华大学

An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems

动力设备故障诊断实验室 , 清华大学

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

动力设备故障诊断实验室 , 清华大学

Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions

动力设备故障诊断实验室 , 清华大学

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