Theo dõi
Jongmyon Kim
Jongmyon Kim
울산대 IT융합학부 교수
Email được xác minh tại ulsan.ac.kr - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
2242017
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
2182019
A hybrid feature model and deep-learning-based bearing fault diagnosis
M Sohaib, CH Kim, JM Kim
Sensors 17 (12), 2876, 2017
2032017
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
1902014
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
1732019
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
1512015
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
1422012
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
1412018
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
1382016
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
1302012
Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition
P Nguyen, JM Kim
Information sciences 373, 499-511, 2016
1232016
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
1172011
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
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
1002014
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
992011
Accurate bearing fault diagnosis under variable shaft speed using convolutional neural networks and vibration spectrogram
MT Pham, JM Kim, CH Kim
Applied Sciences 10 (18), 6385, 2020
922020
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
892015
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
852017
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
792013
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
782017
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