Te Han

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

Te Han, Chao Liu, Wenguang Yang et al. · ISA Transactions · 2019 · 551 citations · Full text

Fault Diagnosis, Reliability Engineering, Engineering +10

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

Te Han, Chao Liu, Wenguang Yang et al. · Knowledge-Based Systems · 2018 · 463 citations

Artificial Intelligence, Fault Diagnosis, Convolutional Neural Network +10

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

Te Han, Dongxiang Jiang, Qi Zhao et al. · Transactions of the Institute of Measurement and Control · 2017 · 348 citations

Fault Diagnosis, Engineering, Machine Learning +19

A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

Te Han, Yan‐Fu Li, Min Qian · IEEE Transactions on Instrumentation and Measurement · 2021 · 262 citations

Artificial Intelligence, Fault Diagnosis, Engineering +24

Deep transfer learning with limited data for machinery fault diagnosis

Te Han, Chao Liu, Rui Wu et al. · Applied Soft Computing · 2021 · 238 citations

Fault Diagnosis, Engineering, Machine Learning +9