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 | 206 | 2017 |
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 | 199 | 2019 |
A hybrid feature model and deep-learning-based bearing fault diagnosis M Sohaib, CH Kim, JM Kim Sensors 17 (12), 2876, 2017 | 188 | 2017 |
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 | 184 | 2014 |
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 | 154 | 2019 |
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 | 143 | 2015 |
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 | 140 | 2012 |
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 | 129 | 2016 |
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 | 124 | 2018 |
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 | 122 | 2012 |
Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition P Nguyen, JM Kim Information sciences 373, 499-511, 2016 | 117 | 2016 |
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 | 116 | 2011 |
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 | 105 | 2015 |
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 | 98 | 2011 |
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 | 96 | 2014 |
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 | 84 | 2015 |
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 | 77 | 2013 |
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 | 76 | 2017 |
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 | 75 | 2013 |
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 | 74 | 2017 |