Cheol-Hong Kim

7PUBLICATIONS
10CO-AUTHORS
Deep learningDynamics, vibration and vibration controlWastewater treatment processesReinforcement learning
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Publications (7)

|May 14, 2025
A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction.

Muhammad Farooq Siddique, Faisal Saleem, Muhammad Umar

|Jun 10, 2022
Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis.

Cong Dai Nguyen, Cheol Hong Kim, Jong-Myon Kim

|Feb 26, 2022
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning.

Sajjad Ahmad, Zahoor Ahmad, Cheol-Hong Kim

|Oct 13, 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

|Oct 13, 2021
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection.

Andrei S Maliuk, Alexander E Prosvirin, Zahoor Ahmad

|Dec 30, 2020
Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network.

Cong Dai Nguyen, Alexander E Prosvirin, Cheol Hong Kim

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Frequent Collaborators

7 joint publications

Jong-Myon Kim

2 joint publications

Cong Dai Nguyen

2 joint publications

Alexander E Prosvirin

2 joint publications

Zahoor Ahmad