Author Info
Name
Affiliation
Papers
JONG MYON KIM
School of Electrical Engineering, University of Ulsan, Ulsan, Korea
83
Collaborators
Citations 
PageRank 
102
144
32.36
Referers 
Referees 
References 
420
1269
558
Search Limit
1001000
Title
Citations
PageRank
Year
GMM-Aided DNN Bearing Fault Diagnosis Using Sparse Autoencoder Feature Extraction00.342022
Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis00.342022
A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures00.342022
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions00.342022
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning00.342022
Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network00.342022
Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals00.342022
Pipeline Leak Detection Using Acoustic Emission and State Estimate in Feature Space00.342022
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines00.342022
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection00.342021
Crack Size Identification For Bearings Using An Adaptive Digital Twin00.342021
Centrifugal Pump Fault Diagnosis Using Discriminative Factor-Based Features Selection and K-Nearest Neighbors00.342021
Transfer Learning with 2D Vibration Images for Fault Diagnosis of Bearings Under Variable Speed00.342021
Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme For Bearing Fault Pattern Recognition And Crack Size Identification00.342021
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory00.342021
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique00.342021
An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals00.342021
An Explainable Ai-Based Fault Diagnosis Model For Bearings00.342021
A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis00.342021
Real-Time Leak Detection For A Gas Pipeline Using A K-Nn Classifier And Hybrid Ae Features00.342021
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 Network10.362021
A Novel Health Indicator Based on Information Theory Features for Assessing Rotating Machinery Performance Degradation00.342020
A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds.00.342020
Advanced fuzzy-based leak detection and size estimation for pipelines.00.342020
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.20.392020
The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data.00.342020
Robot Manipulator Active Fault-Tolerant Control Using A Machine Learning-Based Automated Robust Hybrid Observer00.342020
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network.00.342020
Deep Learning-Based Bearing Fault Diagnosis Method For Embedded Systems10.352020
A Multitask-Aided Transfer Learning-Based Diagnostic Framework For Bearings Under Inconsistent Working Conditions00.342020
Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions.20.372020
Performance Degradation Assessment of Concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis-Taguchi System.00.342020
Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features.00.342019
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network.20.382019
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models40.442019
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis00.342019
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network.10.362019
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines70.482019
An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing.00.342018
A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models.30.392018
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal.00.342018
Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer.00.342018
Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer.30.412018
A Reliable Health Indicator for Fault Prognosis of Bearings.10.352018
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks.70.572018
Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators.10.352018
Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods.20.372018
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models.20.402018
Pipeline Fault Diagnosis Using Wavelet Entropy And Ensemble Deep Neural Technique00.342018
Improvement of Risk Assessment Using Numerical Analysis for an Offshore Plant Dipole Antenna.00.342018
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