Tang, Baoping

Deep Residual Shrinkage Networks for Fault Diagnosis

Zhao, M., Zhong, S., Fu, X., Tang, B., & Pecht, M. (2020) · IEEE Transactions on Industrial Informatics

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 1,447

Deep residual networks with dynamically weighted wavelet coefficients for fault diagnosis of planetary gearboxes

Zhao, M., Kang, M., Tang, B., & Pecht, M. (2018) · IEEE Transactions on Industrial Electronics

Machine Fault Diagnosis TechniquesGear and Bearing Dynamics Analysis

Cited by 380

Multiple wavelet coefficients fusion in deep residual networks for fault diagnosis

Zhao, M., Kang, M., Tang, B., & Pecht, M. (2019) · IEEE Transactions on Industrial Electronics

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 174

An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes

Han, Y., Tang, B., & Deng, L. (2019) · Computers in Industry

Machine Fault Diagnosis TechniquesGear and Bearing Dynamics Analysis

Cited by 111

Improving cross-session motor imagery decoding performance with data augmentation and domain adaptation

Guo, S., Wang, Y., Liu, Y., Zhang, X., & Tang, B. (2025) · Biomedical Signal Processing and Control

EEG and Brain-Computer InterfacesMuscle activation and electromyography studies

Cited by 7