Introduction of key problems in long-distance learning and training S Liu, Z Li, Y Zhang, X Cheng Mobile Networks and Applications 24, 1-4, 2019 | 286 | 2019 |
New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method J Huang, ZS Li, HC Liu Reliability Engineering & System Safety 167, 302-309, 2017 | 248 | 2017 |
Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS M Tavana, Z Li, M Mobin, M Komaki, E Teymourian Expert Systems with Applications 50, 17-39, 2016 | 194 | 2016 |
Failure mode and effect analysis using cloud model theory and PROMETHEE method HC Liu, Z Li, W Song, Q Su IEEE Transactions on Reliability 66 (4), 1058-1072, 2017 | 166 | 2017 |
A Bayesian approach for Li-Ion battery capacity fade modeling and cycles to failure prognostics J Guo, Z Li, M Pecht Journal of Power Sources 281, 173-184, 2015 | 149 | 2015 |
A Review on Prognostics Methods for Engineering Systems J Guo, Z Li, M Li IEEE Transactions on Reliability 69 (3), 1110-1129, 2019 | 125 | 2019 |
A two-stage approach for multi-objective decision making with applications to system reliability optimization Z Li, H Liao, DW Coit Reliability Engineering & System Safety 94 (10), 1585-1592, 2009 | 113 | 2009 |
A review of entropy measures for uncertainty quantification of stochastic processes A Namdari, Z Li Advances in Mechanical Engineering 11 (6), 1687814019857350, 2019 | 93 | 2019 |
Multi-objective and multi-stage reliability growth planning in early product-development stage Z Li, M Mobin, T Keyser IEEE Transactions on Reliability 65 (2), 769-781, 2015 | 77 | 2015 |
Energy modeling method of machine-operator system for sustainable machining S Jia, Q Yuan, W Cai, M Li, Z Li Energy conversion and management 172, 265-276, 2018 | 73 | 2018 |
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine S Jia, B Ma, W Guo, ZS Li Journal of Manufacturing Systems 61, 773-781, 2021 | 64 | 2021 |
System reliability assessment with multilevel information using the Bayesian melding method J Guo, ZS Li, JJ Jin Reliability Engineering & System Safety 170, 146-158, 2018 | 61 | 2018 |
A large group decision making approach for dependence assessment in human reliability analysis HC Liu, Z Li, JQ Zhang, XY You Reliability Engineering & System Safety 176, 135-144, 2018 | 56 | 2018 |
Resilience-based optimal recovery strategy for cyber–physical power systems considering component multistate failures G Wu, M Li, ZS Li IEEE Transactions on Reliability 70 (4), 1510-1524, 2020 | 42 | 2020 |
Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process X Yin, Z Niu, Z He, ZS Li, D Lee Advanced Engineering Informatics 46, 101136, 2020 | 41 | 2020 |
A Bayesian approach for integrating multilevel priors and data for aerospace system reliability assessment GUO Jian, LI Zhaojun, T Keyser Chinese Journal of Aeronautics 31 (1), 41-53, 2018 | 40 | 2018 |
Reliability engineering Z Li Journal of Quality Technology 44 (4), 394-395, 2012 | 37 | 2012 |
Integrating fundamental and technical analysis of stock market through multi-layer perceptron A Namdari, ZS Li 2018 IEEE technology and engineering management conference (TEMSCON), 1-6, 2018 | 36 | 2018 |
Maintenance scheduling optimization based on reliability and prognostics information Z Li, J Guo, R Zhou 2016 Annual reliability and maintainability symposium (RAMS), 1-5, 2016 | 33 | 2016 |
Continuous-state reliability measures based on fuzzy sets Z Li, KC Kapur IIE Transactions 44 (11), 1033-1044, 2012 | 33 | 2012 |