Yangde Gao

According to our database, Yangde Gao authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network.

Yangde Gao, Zahoor Ahmad, Jong-Myon Kim

Sensors, 2024

2022

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, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim

Sensors, 2022

A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery.

Yangde Gao, Farzin Piltan, Jong-Myon Kim

Sensors, 2022

A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines.

Yangde Gao, Farzin Piltan, Jong-Myon Kim

Sensors, 2022

Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network.

Rafia Nishat Toma, Yangde Gao, Jong-Myon Kim

Proceedings of the Machine Learning and Artificial Intelligence, 2022

A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings.

Yangde Gao, Farzin Piltan, Zahoor Ahmad, Rafia Nishat Toma, Jong-Myon Kim

Proceedings of the Machine Learning and Artificial Intelligence, 2022

2021

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, 2021

2018

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, 2018

2017

Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis.

Yangde Gao, Francesco Villecco, Ming Li, Wanqing Song

Entropy, 2017