Jong-Myon Kim

发表

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, 2020, Sensors.

Discriminative feature analysis based on the crossing level for leakage classification in water pipelines.

Jong-Myon Kim, Luong Thi Ngoc Tu, 2019, The Journal of the Acoustical Society of America.

Bearing Fault Classification of Induction Motors Using Discrete Wavelet Transform and Ensemble Machine Learning Algorithms

Jong-Myon Kim, Rafia Nishat Toma, Jong-Myon Kim, 2020 .

Prognosis of remaining bearing life with vibration signals using a sequential Monte Carlo framework.

Jong-Myon Kim, Bach Phi Duong, 2019, The Journal of the Acoustical Society of America.

Performance Degradation Assessment of Concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis—Taguchi System

Jong-Myon Kim, Akhand Rai, Md Arafat Habib, 2020, Sensors.

An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis

Jong-Myon Kim, Alexander E. Prosvirin, M. M. Manjurul Islam, 2019, IEEE Access.

A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions

Jong-Myon Kim, Muhammad Sohaib, Md Junayed Hasan, 2020, Sensors.

A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds

Cong Dai Nguyen, Jong-Myon Kim, Alexander E. Prosvirin, 2020, Sensors.

A Deep-Learning-Based Bearing Fault Diagnosis Using Defect Signature Wavelet Image Visualization

Cheol Hong Kim, Jong-Myon Kim, Kichang Im, 2020, Applied Sciences.

Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer

Jong-Myon Kim, Farzin Piltan, Alexander E. Prosvirin, 2020, J. Intell. Fuzzy Syst..

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems

Cheol Hong Kim, Jong-Myon Kim, Minh Tuan Pham, 2020, Sensors.

Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis

Jong-Myon Kim, Akhand Rai, Zahoor Ahmad, 2020, IEEE Access.

Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network

Alexander E Prosvirin, Jong-Myon Kim, Farzin Piltan, 2020, Sensors.

Accurate Bearing Fault Diagnosis under Variable Shaft Speed using Convolutional Neural Networks and Vibration Spectrogram

Cheol Hong Kim, Jong-Myon Kim, Minh Tuan Pham, 2020, Applied Sciences.

SVM-Based Hybrid Robust PIO Fault Diagnosis for Bearing

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2020 .

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

Alexander E Prosvirin, Jong-Myon Kim, Alexander E. Prosvirin, 2020, Sensors.

Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis

Jong-Myon Kim, Jaeyoung Kim, Alexander E. Prosvirin, 2020, IEEE Access.

Improving diagnostic performance of a power transformer using an adaptive over-sampling method for imbalanced data

Jong-Myon Kim, Viet Tra, Bach-Phi Duong, 2019, IEEE Transactions on Dielectrics and Electrical Insulation.

Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2020 .

The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data

Jong-Myon Kim, Tu T N Luong, Jong-Myon Kim, 2020, Sensors.

Hybrid Fault Diagnosis of Bearings: Adaptive Fuzzy Orthonormal-ARX Robust Feedback Observer

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2020 .

Latency Hiding based Warp Scheduling Policy for High Performance GPUs

Cheol Hong Kim, Jong-Myon Kim, Gwang Bok Kim, 2019 .

Machine Learning-Based Robust Feedback Observer for Fault Diagnosis in Bearing

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2020 .

A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals

Jong-Myon Kim, Md Junayed Hasan, Md Junayed Hasan, 2019, Brain sciences.

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network

Jong-Myon Kim, M M Manjurul Islam, M. M. M. Islam, 2019, Sensors.

Feature Selection for Improving Failure Detection in Hard Disk Drives Using a Genetic Algorithm and Significance Scores

Cheol Hong Kim, Jong-Myon Kim, Sheraz Ali Khan, 2020, Applied Sciences.

Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique.

Alexander E Prosvirin, Jong-Myon Kim, Farzin Piltan, 2020, IEEE transactions on neural networks and learning systems.

Crack Size Identification for Bearings Using an Adaptive Digital Twin

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2021, Sensors.

Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features

Jong-Myon Kim, Thang Bui Quy, Jong-Myon Kim, 2021, Sensors.

Induction Motor Bearing Fault Diagnosis Using Statistical Time Domain Features and Hypertuning of Classifiers

Jong-Myon Kim, Rafia Nishat Toma, 2021, Advances in Computer Science and Ubiquitous Computing.

Leak detection and localization for pipelines using multivariable fuzzy learning backstepping

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2021, J. Intell. Fuzzy Syst..

Self-Tuning Intelligence Digital Twin for Bearing Pattern Recognition

Jong-Myon Kim, Farzin Piltan, 2021 .

Improving Bearing Diagnostic Performance by Using New Discriminatory Fault-Feature Evaluation

Jong-Myon Kim, Viet Tra, 2021 .

Smart Digital Twin-Based Bearing Fault Pattern Recognition

Jong-Myon Kim, Farzin Piltan, 2021 .

Gearbox Fault Diagnosis Under Variable Speed Condition Using Frequency Spectral Analysis with 1D Residual Neural Network

Jong-Myon Kim, Md Arafat Habib, 2021 .

An Explainable AI-Based Fault Diagnosis Model for Bearings

Jong-Myon Kim, Muhammad Sohaib, Md Junayed Hasan, 2021, Sensors.

A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals

Jong-Myon Kim, Md Arafat Habib, Md Junayed Hasan, 2021, IEEE Access.

Gearbox Fault Identification Framework Based on Novel Localized Adaptive Denoising Technique, Wavelet-Based Vibration Imaging, and Deep Convolutional Neural Network

Jong-Myon Kim, Zahoor Ahmad, Cong Dai Nguyen, 2021, Applied Sciences.

Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2021, Int. J. Comput. Intell. Syst..

Bearing Anomaly Recognition Using an Intelligent Digital Twin Integrated with Machine Learning

Jong-Myon Kim, Farzin Piltan, Jong-Myon Kim, 2021, Applied Sciences.

Bearing Fault Classification Using Ensemble Empirical Mode Decomposition and Convolutional Neural Network

Jong-Myon Kim, Cheol-Hong Kim, Rafia Nishat Toma, 2021 .

Crack Localization of Pipelines Using Machine Learning and Fuzzy Digital Twin

Jong-Myon Kim, Farzin Piltan, 2021, 2021 International Conference on Information and Communication Technology Convergence (ICTC).

A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures

Jong-Myon Kim, Zahoor Ahmad, Tuan-Khai Nguyen, 2021, Sensors.

State Prediction of Chaotic Time-Series Systems Using Autoregressive Integrated with Adaptive Network-Fuzzy

Jong-Myon Kim, Farzin Piltan, 2021, Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation.

Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults

Jong-Myon Kim, Alexander E. Prosvirin, Zahoor Ahmad, 2021, IEEE Access.

A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning

Jong-Myon Kim, Akhand Rai, Md Junayed Hasan, 2021, IEEE Access.

Bearing Fault Diagnosis Using Grad-CAM and Acoustic Emission Signals

Jong-Myon Kim, Jaeyoung Kim, 2021, Springer Proceedings in Physics.

Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines

Jong-Myon Kim, Alexander E. Prosvirin, M. M. Manjurul Islam, 2021 .

Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification

Jong-Myon Kim, Farzin Piltan, Bach Phi Duong, 2021, Sensors.

Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects

Myeongsu Kang, Jong-Myon Kim, In-Kyu Jeong, 2015 .

Deep Learning Object-Impulse Detection for Enhancing Leakage Detection of a Boiler Tube Using Acoustic Emission Signal

Jong-Myon Kim, Cheol-Hong Kim, Jong-Myon Kim, 2019, Applied Sciences.