| Modeling dependent competing failure processes with degradation-shock dependence M Fan, Z Zeng, E Zio, R Kang Reliability Engineering & System Safety 165, 422-430, 2017 | 132 | 2017 |
| Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics R Kang, Q Zhang, Z Zeng, E Zio, X Li Chinese Journal of Aeronautics 29 (3), 571-579, 2016 | 104 | 2016 |
| Belief reliability: A new metrics for products’ reliability Z Zeng, M Wen, R Kang Fuzzy Optimization and Decision Making 12, 15-27, 2013 | 83 | 2013 |
| Uncertainty theory as a basis for belief reliability Z Zeng, R Kang, M Wen, E Zio Information Sciences 429, 26-36, 2018 | 66 | 2018 |
| Dynamic risk assessment based on statistical failure data and condition-monitoring degradation data Z Zeng, E Zio IEEE Transactions on Reliability 67 (2), 609-622, 2018 | 58 | 2018 |
| An integrated modeling framework for quantitative business continuity assessment Z Zeng, E Zio Process Safety and Environmental Protection 106, 76-88, 2017 | 54 | 2017 |
| Application of reliability technologies in civil aviation: Lessons learnt and perspectives ZIO Enrico, FAN Mengfei, Z Zhiguo, K Rui Chinese Journal of Aeronautics 32 (1), 143-158, 2019 | 44 | 2019 |
| A model-based reliability metric considering aleatory and epistemic uncertainty Z Zeng, R Kang, M Wen, E Zio IEEE Access 5, 15505-15515, 2017 | 39 | 2017 |
| A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events Z Zeng, YP Fang, Q Zhai, S Du Reliability Engineering & System Safety 209, 107443, 2021 | 38 | 2021 |
| A stochastic hybrid systems model of common-cause failures of degrading components M Fan, Z Zeng, E Zio, R Kang, Y Chen Reliability Engineering & System Safety 172, 159-170, 2018 | 37 | 2018 |
| Remaining useful life prediction by fusing expert knowledge and condition monitoring information T Xiahou, Z Zeng, Y Liu IEEE Transactions on Industrial Informatics 17 (4), 2653-2663, 2020 | 35 | 2020 |
| Probability box as a tool to model and control the effect of epistemic uncertainty in multiple dependent competing failure processes Q Zhang, Z Zeng, E Zio, R Kang Applied Soft Computing 56, 570-579, 2017 | 34 | 2017 |
| A sequential Bayesian approach for remaining useful life prediction of dependent competing failure processes M Fan, Z Zeng, E Zio, R Kang, Y Chen IEEE Transactions on Reliability 68 (1), 317-329, 2018 | 32 | 2018 |
| Using PoF models to predict system reliability considering failure collaboration Z Zeng, R Kang, Y Chen Chinese Journal of Aeronautics 29 (5), 1294-1301, 2016 | 32 | 2016 |
| A framework for dynamic risk assessment with condition monitoring data and inspection data J Xing, Z Zeng, E Zio Reliability Engineering & System Safety 191, 106552, 2019 | 30 | 2019 |
| Reliability analysis of Markov history-dependent repairable systems with neglected failures S Du, Z Zeng, L Cui, R Kang Reliability Engineering & System Safety 159, 134-142, 2017 | 29 | 2017 |
| A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods Z Zeng, F Di Maio, E Zio, R Kang Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2017 | 24 | 2017 |
| A classification-based framework for trustworthiness assessment of quantitative risk analysis Z Zeng, E Zio Safety Science 99, 215-226, 2017 | 20 | 2017 |
| Modeling and vulnerability analysis of interdependent railway and power networks: Application to British test systems A Bellè, Z Zeng, C Duval, M Sango, A Barros Reliability Engineering & System Safety 217, 108091, 2022 | 18 | 2022 |
| Measuring reliability during product development considering aleatory and epistemic uncertainty Z Zeng, R Kang, M Wen, Y Chen 2015 Annual Reliability and Maintainability Symposium (RAMS), 1-6, 2015 | 18 | 2015 |
Rui KangBeihang University在 buaa.edu.cn 的电子邮件经过验证
Rui KangBeihang University在 buaa.edu.cn 的电子邮件经过验证
Wen MeilinLecturer of Beihang University在 buaa.edu.cn 的电子邮件经过验证
Li XiaoyangBeihang University在 buaa.edu.cn 的电子邮件经过验证