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Jongmyon Kim
Jongmyon Kim
울산대 IT융합학부 교수
Verificeret mail på ulsan.ac.kr - Startside
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A hybrid prognostics technique for rolling element bearings using adaptive predictive models
W Ahmad, SA Khan, JM Kim
IEEE Transactions on Industrial Electronics 65 (2), 1577-1584, 2017
2062017
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
W Ahmad, SA Khan, MMM Islam, JM Kim
Reliability Engineering & System Safety 184, 67-76, 2019
1992019
A hybrid feature model and deep-learning-based bearing fault diagnosis
M Sohaib, CH Kim, JM Kim
Sensors 17 (12), 2876, 2017
1882017
Reliable fault diagnosis for low-speed bearings using individually trained support vector machines with kernel discriminative feature analysis
M Kang, J Kim, JM Kim, ACC Tan, EY Kim, BK Choi
IEEE Transactions on Power Electronics 30 (5), 2786-2797, 2014
1842014
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines
MMM Islam, JM Kim
Reliability Engineering & System Safety 184, 55-66, 2019
1542019
Time-varying and multiresolution envelope analysis and discriminative feature analysis for bearing fault diagnosis
M Kang, J Kim, LM Wills, JM Kim
IEEE Transactions on Industrial Electronics 62 (12), 7749-7761, 2015
1432015
Fire flame detection in video sequences using multi-stage pattern recognition techniques
TX Truong, JM Kim
Engineering Applications of Artificial Intelligence 25 (7), 1365-1372, 2012
1402012
A hybrid feature selection scheme for reducing diagnostic performance deterioration caused by outliers in data-driven diagnostics
M Kang, MR Islam, J Kim, JM Kim, M Pecht
IEEE Transactions on Industrial Electronics 63 (5), 3299-3310, 2016
1292016
Reduction of overfitting in diabetes prediction using deep learning neural network
A Ashiquzzaman, AK Tushar, MR Islam, D Shon, K Im, JH Park, DS Lim, ...
IT Convergence and Security 2017: Volume 1, 35-43, 2018
1242018
Automated irrigation system using solar power
J Uddin, SMT Reza, Q Newaz, J Uddin, T Islam, JM Kim
2012 7th international conference on electrical and computer engineering …, 2012
1222012
Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition
P Nguyen, JM Kim
Information sciences 373, 499-511, 2016
1172016
An effective four-stage smoke-detection algorithm using video images for early fire-alarm systems
TX Tung, JM Kim
Fire Safety Journal 46 (5), 276-282, 2011
1162011
Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm
M Kang, J Kim, JM Kim
Information Sciences 294, 423-438, 2015
1052015
Overview of KSTAR initial operation
M Kwon, YK Oh, HL Yang, HK Na, YS Kim, JG Kwak, WC Kim, JY Kim, ...
Nuclear Fusion 51 (9), 094006, 2011
982011
An FPGA-based multicore system for real-time bearing fault diagnosis using ultrasampling rate AE signals
M Kang, J Kim, JM Kim
IEEE Transactions on Industrial Electronics 62 (4), 2319-2329, 2014
962014
Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques
P Nguyen, M Kang, JM Kim, BH Ahn, JM Ha, BK Choi
Expert Systems with Applications 42 (22), 9024-9032, 2015
842015
Singular value decomposition based feature extraction approaches for classifying faults of induction motors
M Kang, JM Kim
Mechanical Systems and Signal Processing 41 (1-2), 348-356, 2013
772013
Bearing fault diagnosis under variable speed using convolutional neural networks and the stochastic diagonal levenberg-marquardt algorithm
V Tra, J Kim, SA Khan, JM Kim
Sensors 17 (12), 2834, 2017
762017
An overview of KSTAR results
JG Kwak, YK Oh, HL Yang, KR Park, YS Kim, WC Kim, JY Kim, SG Lee, ...
Nuclear Fusion 53 (10), 104005, 2013
752013
A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems
DK Appana, R Islam, SA Khan, JM Kim
Information Sciences 418, 91-101, 2017
742017
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Artikler 1–20