Flexible preventative maintenance for serial production lines with multi-stage degrading machines and finite buffers Y Kang, F Ju IISE Transactions 51 (7), 777-791, 2019 | 20 | 2019 |
Performance evaluation of production systems using real-time machine degradation signals Y Kang, H Yan, F Ju IEEE Transactions on Automation Science and Engineering 17 (1), 273-283, 2019 | 19 | 2019 |
New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks A Tosyali, J Kim, J Choi, Y Kang, MK Jeong Annals of Operations Research 288 (1), 457-474, 2020 | 13 | 2020 |
Integrated analysis of productivity and machine condition degradation: Performance evaluation and bottleneck identification Y Kang, F Ju IISE transactions 51 (5), 501-516, 2019 | 12 | 2019 |
Multifidelity modeling for analysis and optimization of serial production lines Y Kang, L Mathesen, G Pedrielli, F Ju, LH Lee IEEE Transactions on Automatic Control 66 (8), 3460-3474, 2020 | 8 | 2020 |
Semi-supervised constrained hidden Markov model using multiple sensors for remaining useful life prediction and optimal predictive maintenance: For remaining useful life … X Zhao, Y Kang, H Yan, F Ju Annual Conference of the PHM Society 11 (1), 2019 | 8 | 2019 |
Integrated analysis of productivity and machine condition degradation: A geometric-machine case Y Kang, F Ju 2016 IEEE International Conference on Automation Science and Engineering …, 2016 | 6 | 2016 |
Identifying bottlenecks in serial production lines with geometric machines: indicators and rules Y Kang, F Ju IFAC-PapersOnLine 50 (1), 13952-13957, 2017 | 5 | 2017 |
Multi-fidelity modeling for analysis of serial production lines Y Kang, L Mathesen, G Pedrielli, F Ju 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 30-35, 2017 | 4 | 2017 |
Real-time production performance analysis using machine degradation signals: A two-machine case Y Kang, H Yan, F Ju 2018 IEEE 14th International Conference on Automation Science and …, 2018 | 2 | 2018 |
Maintenance decision model for a two-machine production line with multistage degradation machines Y Kang, F Ju International Manufacturing Science and Engineering Conference 51371 …, 2018 | 1 | 2018 |
Real-Time Analysis and Control for Smart Manufacturing Systems Y Kang Arizona State University, 2020 | | 2020 |
Joint optimization of operating mode and part sequence for robot loading process considering real-time health condition Y Kang, F Ju 2019 IEEE 15th International Conference on Automation Science and …, 2019 | | 2019 |
Anomaly detection in network using non-negative matrix factorization Y Kang Rutgers The State University of New Jersey, School of Graduate Studies, 2015 | | 2015 |
Anomaly detection in network using non-negative matrix factorization techniques Y Kang Rutgers University-Graduate School-New Brunswick, 2015 | | 2015 |
Characterization of NAFLD disease evolution with multiparametric MRI/MRE and multi-state Hidden Markov Model J Chen, Y Kang, F Ju, J Li, J Chen, X Lu, RL Ehman, VH Shah, M Yin | | |