| 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 | 155 | 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 | 117 | 2016 |
| Belief reliability: a new metrics for products’ reliability Z Zeng, M Wen, R Kang Fuzzy Optimization and Decision Making 12, 15-27, 2013 | 88 | 2013 |
| Uncertainty theory as a basis for belief reliability Z Zeng, R Kang, M Wen, E Zio Information Sciences 429, 26-36, 2018 | 72 | 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 | 68 | 2018 |
| An integrated modeling framework for quantitative business continuity assessment Z Zeng, E Zio Process Safety and Environmental Protection 106, 76-88, 2017 | 63 | 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 | 61 | 2021 |
| 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 | 55 | 2019 |
| 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 | 51 | 2020 |
| A model-based reliability metric considering aleatory and epistemic uncertainty Z Zeng, R Kang, M Wen, E Zio IEEE Access 5, 15505-15515, 2017 | 45 | 2017 |
| 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 | 44 | 2018 |
| 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 | 41 | 2022 |
| 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 | 40 | 2018 |
| 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 | 37 | 2019 |
| 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 | 37 | 2017 |
| 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 | 36 | 2016 |
| 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 | 32 | 2017 |
| Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines M Mitici, I de Pater, A Barros, Z Zeng Reliability Engineering & System Safety 234, 109199, 2023 | 27 | 2023 |
| 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 | 27 | 2017 |
| A classification-based framework for trustworthiness assessment of quantitative risk analysis Z Zeng, E Zio Safety Science 99, 215-226, 2017 | 22 | 2017 |
Rui KangBeihang UniversityVerified email at buaa.edu.cn
