Jong-Myon Kim

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 137

Top Venues

Sensors

IEEE Access

FCC

IEEE Trans. Ind. Electron.

Publications

Nguyen Duc Thuan, Jong-Myon Kim
A Novel Leak Localization Method for Water Pipeline Systems Based on Acoustic Emission Monitoring and Event Correlation. ICCSA (2) (2024)
Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Saif Ullah, Jong-Myon Kim
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework. Sensors 24 (12) (2024)
Muhammad Sohaib, Saima Jamil, Jong-Myon Kim
An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures. Sensors 24 (1) (2024)
Saif Ullah, Zahoor Ahmad, Jong-Myon Kim
Fault Diagnosis of a Multistage Centrifugal Pump Using Explanatory Ratio Linear Discriminant Analysis. Sensors 24 (6) (2024)
Nguyen Duc Thuan, Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
Remaining Useful Life Prediction for Pressurized Fluid Pipelines Based on Acoustic Emission Monitoring and an Adaptive Fuzzy Similarity Measure. IEEE Access 12 (2024)
Wasim Zaman, Zahoor Ahmad, Jong-Myon Kim
Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network. Sensors 24 (3) (2024)
M. M. Manjurul Islam, Jong-Myon Kim
Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings. J. Ambient Intell. Humaniz. Comput. 15 (2) (2024)
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network. Sensors 24 (1) (2024)
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
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. Sensors 24 (8) (2024)
Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim
Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning. HPCC/DSS/SmartCity/DependSys (2023)
Andrei S. Maliuk, Jong-Myon Kim
WPT-Base Selection for Bearing Fault Feature Extraction: A Node-Specific Approach Study. ACPR (2) (2023)
Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. ACPR (2) (2023)
Niamat Ullah, Muhammad Farooq Siddique, Jong-Myon Kim
A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis. HPCC/DSS/SmartCity/DependSys (2023)
Wasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN. Sensors 23 (11) (2023)
Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
Leak Localization on Cylinder Tank Bottom Using Acoustic Emission. Sensors 23 (1) (2023)
Farzin Piltan, Jong-Myon Kim
Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme. Sensors 23 (2) (2023)
Niamat Ullah, Zahoor Ahmed, Jong-Myon Kim
Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms. Sensors 23 (6) (2023)
Zahoor Ahmad, Jae-Young Kim, Jong-Myon Kim
A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann-Whitney Test. Sensors 23 (22) (2023)
Nguyen Duc Thuan, Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov-Smirnov Test. Sensors 23 (23) (2023)
Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jaeyoung Kim, Jong-Myon Kim
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN. IHCI (2) (2023)
Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest. Sensors 23 (22) (2023)
Niamat Ullah, Zahoor Ahmad, Muhammad Farooq Siddique, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning. Sensors 23 (21) (2023)
Cong Dai Nguyen, Cheol Hong Kim, Jong-Myon Kim
Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis. Sensors 22 (11) (2022)
Andrei S. Maliuk, Zahoor Ahmad, Jong-Myon Kim
GMM-Aided DNN Bearing Fault Diagnosis Using Sparse Autoencoder Feature Extraction. IbPRIA (2022)
Rafia Nishat Toma, Yangde Gao, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features. Sensors 22 (22) (2022)
Sajjad Ahmad, Zahoor Ahmad, Jong-Myon Kim
A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning. Sensors 22 (17) (2022)
Zahoor Ahmad, Tuan-Khai Nguyen, Sajjad Ahmad, Cong Dai Nguyen, Jong-Myon Kim
Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis. Sensors 22 (1) (2022)
Yangde Gao, Farzin Piltan, Jong-Myon Kim
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. Sensors 22 (10) (2022)
Thang Bui Quy, Jong-Myon Kim
Pipeline Leak Detection Using Acoustic Emission and State Estimate in Feature Space. IEEE Trans. Instrum. Meas. 71 (2022)
Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim
Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals. IEEE Access 10 (2022)
Yangde Gao, Farzin Piltan, Jong-Myon Kim
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. Sensors 22 (19) (2022)
Farzin Piltan, Jong-Myon Kim
Leak detection and localization for pipelines using multivariable fuzzy learning backstepping. J. Intell. Fuzzy Syst. 42 (1) (2022)
Rafia Nishat Toma, Yangde Gao, Jong-Myon Kim
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network. MLIS (2022)
Md Junayed Hasan, M. M. Manjurul Islam, Jong-Myon Kim
Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning. Sensors 22 (1) (2022)
Sajjad Ahmad, Zahoor Ahmad, Cheol Hong Kim, Jong-Myon Kim
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning. Sensors 22 (4) (2022)
Rafia Nishat Toma, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. Sensors 22 (13) (2022)
Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures. Sensors 22 (10) (2022)
Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence. FDSE (CCIS Volume) (2022)
Alexander E. Prosvirin, Andrei S. Maliuk, Jong-Myon Kim
Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network. Expert Syst. Appl. 198 (2022)
Yangde Gao, Farzin Piltan, Zahoor Ahmad, Rafia Nishat Toma, Jong-Myon Kim
A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. MLIS (2022)
Farzin Piltan, Rafia Nishat Toma, Dongkoo Shon, Kichang Im, Hyun-Kyun Choi, Dae-Seung Yoo, Jong-Myon Kim
Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification. Sensors 22 (2) (2022)
Farzin Piltan, Jong-Myon Kim
Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm. Int. J. Comput. Intell. Syst. 14 (1) (2021)
Farzin Piltan, Jong-Myon Kim
Crack Size Identification for Bearings Using an Adaptive Digital Twin. Sensors 21 (15) (2021)
Md Junayed Hasan, Akhand Rai, Zahoor Ahmad, Jong-Myon Kim
A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning. IEEE Access 9 (2021)
Alexander E. Prosvirin, Zahoor Ahmad, Jong-Myon Kim
Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults. IEEE Access 9 (2021)
Farzin Piltan, Bach Phi Duong, Jong-Myon Kim
Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification. Sensors 21 (6) (2021)
Zahoor Ahmad, Akhand Rai, Md Junayed Hasan, Cheol Hong Kim, Jong-Myon Kim
A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis. IEEE Access 9 (2021)
Akhand Rai, Zahoor Ahmad, Md Junayed Hasan, Jong-Myon Kim
A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov-Smirnov Test. Sensors 21 (24) (2021)
Yangde Gao, Cheol Hong Kim, Jong-Myon Kim
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory. Sensors 21 (19) (2021)
Rafia Nishat Toma, Jong-Myon Kim
Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms. ISDA (2021)
Md Junayed Hasan, Muhammad Sohaib, Jong-Myon Kim
An Explainable AI-Based Fault Diagnosis Model for Bearings. Sensors 21 (12) (2021)
Thang Bui Quy, Jong-Myon Kim
Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features. Sensors 21 (2) (2021)
Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim
A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures. Sensors 21 (22) (2021)
Zahoor Ahmad, Md Junayed Hasan, Jong-Myon Kim
Centrifugal Pump Fault Diagnosis Using Discriminative Factor-Based Features Selection and K-Nearest Neighbors. ISDA (2021)
Farzin Piltan, Jong-Myon Kim
An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals. ISDA (2021)
Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim
Efficient Fault Diagnosis of Rolling Bearings Using Neural Network Architecture Search and Sharing Weights. IEEE Access 9 (2021)
Rafia Nishat Toma, Farzin Piltan, Jong-Myon Kim
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors. Sensors 21 (24) (2021)
Cong Dai Nguyen, Alexander E. Prosvirin, Cheol Hong Kim, Jong-Myon Kim
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. Sensors 21 (1) (2021)
Zahoor Ahmad, Md Junayed Hasan, Jong-Myon Kim
Transfer Learning with 2D Vibration Images for Fault Diagnosis of Bearings Under Variable Speed. ISDA (2021)
Md Arafat Habib, Md Junayed Hasan, Jong-Myon Kim
A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals. IEEE Access 9 (2021)
Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Farzin Piltan, Jong-Myon Kim
Crack Localization of Pipelines Using Machine Learning and Fuzzy Digital Twin. ICTC (2021)
Andrei S. Maliuk, Alexander E. Prosvirin, Zahoor Ahmad, Cheol Hong Kim, Jong-Myon Kim
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. Sensors 21 (19) (2021)
Farzin Piltan, Alexander E. Prosvirin, Jong-Myon Kim
Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer. J. Intell. Fuzzy Syst. 39 (5) (2020)
Akhand Rai, Jong-Myon Kim
A Novel Health Indicator Based on Information Theory Features for Assessing Rotating Machinery Performance Degradation. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Muhammad Sohaib, Jong-Myon Kim
Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions. IEEE Trans. Instrum. Meas. 69 (6) (2020)
Md Arafat Habib, Akhand Rai, Jong-Myon Kim
Performance Degradation Assessment of Concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis - Taguchi System. Sensors 20 (12) (2020)
Cong Dai Nguyen, Alexander E. Prosvirin, Jong-Myon Kim
Fault Identification of Multi-level Gear Defects Using Adaptive Noise Control and a Genetic Algorithm. IHCI (1) (2020)
Md Junayed Hasan, Muhammad Sohaib, Jong-Myon Kim
A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions. Sensors 20 (24) (2020)
Rafia Nishat Toma, Alexander E. Prosvirin, Jong-Myon Kim
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers. Sensors 20 (7) (2020)
Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim
Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems. Sensors 20 (23) (2020)
Cong Dai Nguyen, Alexander E. Prosvirin, Jong-Myon Kim
A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds. Sensors 20 (11) (2020)
Zahoor Ahmad, Alexander E. Prosvirin, Jaeyoung Kim, Jong-Myon Kim
Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis. IEEE Access 8 (2020)
Farzin Piltan, Jong-Myon Kim
Advanced fuzzy-based leak detection and size estimation for pipelines. J. Intell. Fuzzy Syst. 38 (1) (2020)
Tahmina Khanam, Pranab Kumar Dhar, Saki Kowsar, Jong-Myon Kim
SVD-Based Image Watermarking Using the Fast Walsh-Hadamard Transform, Key Mapping, and Coefficient Ordering for Ownership Protection. Symmetry 12 (1) (2020)
Zahoor Ahmad, Akhand Rai, Andrei S. Maliuk, Jong-Myon Kim
Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis. IEEE Access 8 (2020)
Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. Sensors 20 (21) (2020)
Thi Ngoc Tu Luong, Jong-Myon Kim
The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data. Sensors 20 (9) (2020)
M. M. Manjurul Islam, Jong-Myon Kim
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines. Reliab. Eng. Syst. Saf. 184 (2019)
M. M. Manjurul Islam, Jong-Myon Kim
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network. Comput. Ind. 106 (2019)
Alexander E. Prosvirin, M. M. Manjurul Islam, Jong-Myon Kim
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. IEEE Access 7 (2019)
Thi Ngoc Tu Luong, Jong-Myon Kim
Leakage Classification Based on Improved Kullback-Leibler Separation in Water Pipelines. FDSE (2019)
Ngoc-Hung Nguyen, Cheol-Hong Kim, Jong-Myon Kim
Optimization of Pipelined Discrete Wavelet Packet Transform Based on an Efficient Transpose Form and an Advanced Functional Sharing Technique. J. Inf. Process. Syst. 15 (2) (2019)
Viet Tra, Bach Phi Duong, Jaeyoung Kim, Muhammad Sohaib, Jong-Myon Kim
Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features. Entropy 21 (2) (2019)
M. M. Manjurul Islam, Jong-Myon Kim
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network. Sensors 19 (19) (2019)
Wasim Ahmad, Sheraz Ali Khan, M. M. Manjurul Islam, Jong-Myon Kim
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. Reliab. Eng. Syst. Saf. 184 (2019)
Farzin Piltan, Jong-Myon Kim
Fault Diagnosis of a Wireless Sensor Network Using a Hybrid Method. PDCAT (2018)
M. M. Manjurul Islam, Alexander E. Prosvirin, Jong-Myon Kim
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. IDEAL (1) (2018)
M. M. Manjurul Islam, Muhammad Sohaib, Jaeyoung Kim, Jong-Myon Kim
Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. Sensors 18 (12) (2018)
Sheraz Ali Khan, Alexander E. Prosvirin, Jong-Myon Kim
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation. ICACS (2018)
Bach Phi Duong, Jong-Myon Kim
Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis. Sensors 18 (4) (2018)
Yun-Jeong Cho, Kichang Im, Dongkoo Shon, Daehoon Park, Jong-Myon Kim
Improvement of Risk Assessment Using Numerical Analysis for an Offshore Plant Dipole Antenna. Symmetry 10 (12) (2018)
Ngoc-Hung Nguyen, Sheraz Ali Khan, Cheol-Hong Kim, Jong-Myon Kim
A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms. Microprocess. Microsystems 60 (2018)
Jaeho Jeong, In-Kyu Jeong, Duck-Chan Jeon, Jong-Myon Kim
An Intelligent Data Acquisition and Control System for Simulating the Detection of Pipeline Leakage. HIS (2018)
Alexander E. Prosvirin, M. M. Manjurul Islam, Jaeyoung Kim, Jong-Myon Kim
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. Sensors 18 (7) (2018)
Hung Nguyen Ngoc, Jaeyoung Kim, Jong-Myon Kim
Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds. Sensors 18 (5) (2018)
Farzin Piltan, Jong-Myon Kim
Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer. Sensors 18 (4) (2018)
Gwang Bok Kim, Jong-Myon Kim, Cheol Hong Kim
Dynamic Selective Warp Scheduling for GPUs Using L1 Data Cache Locality Information. PDCAT (2018)
Young-Hun Kim, Jaeyoung Kim, Jong-Myon Kim
Leakage Detection of a Boiler Tube Using a Genetic Algorithm-like Method and Support Vector Machines. SoCPaR (2018)
Hung Nguyen Ngoc, Jaeyoung Kim, Jong-Myon Kim
An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing. ICISA (2018)

Jong-Myon Kim.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jong-Myon Kim