Publications by authors named "Yangde Gao"

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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.
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim

Sensors (Basel)· April 2024

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Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network.
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim

Sensors (Basel)· January 2024

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Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.
Rafia Nishat Toma, Yangde Gao, Farzin Piltan, Kichang Im, Dongkoo Shon

Sensors (Basel)· November 2022

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A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery.
Yangde Gao, Farzin Piltan, Jong-Myon Kim

Sensors (Basel)· October 2022

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A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines.
Yangde Gao, Farzin Piltan, Jong-Myon Kim

Sensors (Basel)· May 2022

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A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory.
Yangde Gao, Cheol Hong Kim, Jong-Myon Kim

Sensors (Basel)· October 2021

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Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery.
Bo Wu, Yangde Gao, Songlin Feng, Theerasak Chanwimalueang

Entropy (Basel)· September 2018

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Spare optimistic based on improved ADMM and the minimum entropy de-convolution for the early weak fault diagnosis of bearings in marine systems.
Yangde Gao, Mohammad Karimi, Aleksey A Kudreyko, Wanqing Song

ISA Trans· July 2018

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