Yangde Gao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Blind Deconvolution

Regularized Regression

Fault Diagnosis

Rotating Machinery

Top Venues

Publications

Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network. Sensors 24 (1) (2024)
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder. Sensors 24 (8) (2024)
Rafia Nishat Toma, Yangde Gao, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features. Sensors 22 (22) (2022)
Yangde Gao, Farzin Piltan, Jong-Myon Kim
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. Sensors 22 (10) (2022)
Yangde Gao, Farzin Piltan, Jong-Myon Kim
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. Sensors 22 (19) (2022)
Rafia Nishat Toma, Yangde Gao, Jong-Myon Kim
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network. MLIS (2022)
Yangde Gao, Farzin Piltan, Zahoor Ahmad, Rafia Nishat Toma, Jong-Myon Kim
A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. MLIS (2022)
Yangde Gao, Cheol Hong Kim, Jong-Myon Kim
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory. Sensors 21 (19) (2021)
Bo Wu, Yangde Gao, Songlin Feng, Theerasak Chanwimalueang
Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery. Entropy 20 (10) (2018)
Yangde Gao, Francesco Villecco, Ming Li, Wanqing Song
Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis. Entropy 19 (4) (2017)