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Jong-Myon Kim

Jong-Myon Kim

D-Index & Metrics

Computer Science

D-Index
44
Citations
6668
World Ranking
7673
National Ranking
73

Overview

Jong-Myon Kim is affiliated with the University of Ulsan in South Korea and specializes in engineering research. Their body of work primarily spans mechanical engineering, control and systems engineering, civil and structural engineering, ocean engineering, and mechanics of materials.

Their research focuses on several key areas including machine fault diagnosis techniques, gear and bearing dynamics analysis, fault detection and control systems, water systems and optimization, geophysical methods and applications, advanced machining processes and optimization, and engineering diagnostics and reliability.

Major recent publications have been featured in multiple academic journals. Selected papers include:

  • Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers, 2020, Sensors
  • Bearing Fault Classification of Induction Motors Using Discrete Wavelet Transform and Ensemble Machine Learning Algorithms, 2020, Applied Sciences
  • Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines, 2021, Mechanical Systems and Signal Processing
  • Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms, 2023, Sensors
  • Crack detection and localization in a fluid pipeline based on acoustic emission signals, 2020, Mechanical Systems and Signal Processing

Frequent publication venues for Jong-Myon Kim include:

  • Sensors (48 publications)
  • Applied Sciences (19 publications)
  • IEEE Access (11 publications)
  • Machines (6 publications)
  • Mechanical Systems and Signal Processing (4 publications)

Jong-Myon Kim has collaborated regularly with several researchers. Notable frequent co-authors are:

  • Zahoor Ahmad, with 48 joint publications
  • Farzin Piltan, with 28 joint publications
  • Muhammad Siddique, with 22 joint publications
  • Cheol Hong Kim, with 20 joint publications
  • Jae-Young Kim, with 14 joint publications

Best Publications

  • Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

    Md. Nazmul Hasan;Rafia Nishat Toma;Abdullah-Al Nahid;M M Manjurul Islam

  • A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models

    Wasim Ahmad;Sheraz Ali Khan;Jong-Myon Kim

  • A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models

    Wasim Ahmad;Sheraz Ali Khan;M M Manjurul Islam;Jong-Myon Kim

  • Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network

    M.M. Manjurul Islam;Jong-Myon Kim

  • A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis

    Muhammad Sohaib;Cheol-Hong Kim;Jong-Myon Kim

  • Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis

    Myeongsu Kang;Jaeyoung Kim;Jong-Myon Kim;Andy C. C. Tan

  • Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines

    M.M. Manjurul Islam;Jong-Myon Kim

  • Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis

    Myeongsu Kang;Jaeyoung Kim;Linda M Wills;Jong-Myon Kim

  • Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals

    Dongkoo Shon;Kichang Im;Jeong-Ho Park;Dong-Sun Lim

  • Fire flame detection in video sequences using multi-stage pattern recognition techniques

    Tung Xuan Truong;Jong-Myon Kim

  • A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics

    Myeongsu Kang;Md. Rashedul Islam;Jaeyoung Kim;Jong-Myon Kim

  • An effective four-stage smoke-detection algorithm using video images for early fire-alarm systems

    Truong Xuan Tung;Jong-Myon Kim

  • Automated irrigation system using solar power

    J. Uddin;S. M. T. Reza;Q. Newaz;T. Islam

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

    Rafia Nishat Toma;Jong-Myon Kim

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

    M. M. Manjurul Islam;Jong-Myon Kim

  • Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition

    Phuong Nguyen;Jong-Myon Kim

  • Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm

    Myeongsu Kang;Jaeyoung Kim;Jong-Myon Kim

  • An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals

    Myeongsu Kang;Jaeyoung Kim;Jong-Myon Kim

  • Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network

    Akm Ashiquzzaman;Abdul Kawsar Tushar;Md. Rashedul Islam;Dongkoo Shon

  • Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques

    Phuong Nguyen;Myeongsu Kang;Jong-Myon Kim;Byung-Hyun Ahn

Frequent Co-Authors

Farzin Piltan
Farzin Piltan University of Ulsan
Michael Pecht
Michael Pecht University of Maryland, College Park
Patrick Diamond
Patrick Diamond University of California, San Diego
S.A. Sabbagh
S.A. Sabbagh Columbia University
D.A. Humphreys
D.A. Humphreys General Atomics (United States)
M.L. Walker
M.L. Walker General Atomics (United States)
Katsumi Ida
Katsumi Ida National Institutes of Natural Sciences

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