Baoping Tang

Deep Residual Shrinkage Networks for Fault Diagnosis

Minghang Zhao, Shisheng Zhong, Xuyun Fu et al. · IEEE Transactions on Industrial Informatics · 2019 · 1.3K citations

Fault Diagnosis, Convolutional Neural Network, Deep Neural Networks +15

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

Minghang Zhao, Myeongsu Kang, Baoping Tang et al. · IEEE Transactions on Industrial Electronics · 2017 · 366 citations

Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution

Baoping Tang, Wenyi Liu · Renewable Energy · 2010 · 255 citations

Fault Diagnosis, Condition Monitoring, Morlet Wavelet Transformation +6

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

Ziqian Kong, Baoping Tang, Lei Deng et al. · Renewable Energy · 2019 · 241 citations

Fault Diagnosis, Condition Monitoring, Engineering +8

Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction

Sheng Xiang, Yi Qin, Jun Luo et al. · Reliability Engineering & System Safety · 2021 · 207 citations

Engineering, Machine Learning, Data Science +7