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Journal Articles
- 2024
[j8]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): 256 (2024)- [j7]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): 2382 (2024) - 2022
- [j6]Yangde Gao, Farzin Piltan, Jong-Myon Kim:
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. Sensors 22(10): 3963 (2022) - [j5]Yangde Gao, Farzin Piltan, Jong-Myon Kim:
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. Sensors 22(19): 7534 (2022) - [j4]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): 8958 (2022) - 2021
- [j3]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): 6614 (2021) - 2018
- [j2]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): 747 (2018) - 2017
- [j1]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): 176 (2017)
Conference and Workshop Papers
- 2022
- [c2]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: 56-63 - [c1]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: 64-71
Coauthor Index
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