| A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information L Wang, R Pan, X Li, T Jiang Reliability Engineering & System Safety 112, 38-47, 2013 | 138 | 2013 |
| 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 | 123 | 2016 |
| Modeling accelerated degradation data based on the uncertain process XY Li, JP Wu, L Liu, ML Wen, R Kang IEEE Transactions on Fuzzy Systems 27 (8), 1532-1542, 2018 | 68 | 2018 |
| Model uncertainty in accelerated degradation testing analysis L Liu, XY Li, E Zio, R Kang, TM Jiang IEEE Transactions on Reliability 66 (3), 603-615, 2017 | 53 | 2017 |
| Stochastic modeling and analysis of multiple nonlinear accelerated degradation processes through information fusion F Sun, L Liu, X Li, H Liao Sensors 16 (8), 1242, 2016 | 48 | 2016 |
| Performance margin-based reliability analysis for aircraft lock mechanism considering multi-source uncertainties and wear XY Li, WB Chen, R Kang Reliability Engineering & System Safety 205, 107234, 2021 | 46 | 2021 |
| Optimal design for step-stress accelerated degradation testing with competing failure modes X Li, T Jiang 2009 Annual Reliability and Maintainability Symposium, 64-68, 2009 | 46 | 2009 |
| A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers XY Li, Y Liu, YH Lin, LH Xiao, E Zio, R Kang Reliability Engineering & System Safety 207, 107381, 2021 | 44 | 2021 |
| A random fuzzy accelerated degradation model and statistical analysis XY Li, JP Wu, HG Ma, X Li, R Kang IEEE Transactions on Fuzzy Systems 26 (3), 1638-1650, 2017 | 44 | 2017 |
| Life prediction of jet engines based on LSTM-recurrent neural networks D Dong, XY Li, FQ Sun 2017 prognostics and system health management conference (PHM-Harbin), 1-6, 2017 | 44 | 2017 |
| A general accelerated degradation model based on the Wiener process L Liu, X Li, F Sun, N Wang Materials 9 (12), 981, 2016 | 43 | 2016 |
| A Bayesian optimal design for accelerated degradation testing based on the inverse Gaussian process X Li, Y Hu, E Zio, R Kang IEEE Access 5, 5690-5701, 2017 | 38 | 2017 |
| Bayesian step stress accelerated degradation testing design: A multi-objective Pareto-optimal approach X Li, Y Hu, J Zhou, X Li, R Kang Reliability Engineering & System Safety 171, 9-17, 2018 | 33 | 2018 |
| Uncertain accelerated degradation modeling and analysis considering epistemic uncertainties in time and unit dimension JP Wu, R Kang, XY Li Reliability Engineering & System Safety 201, 106967, 2020 | 31 | 2020 |
| Planning of step-stress accelerated degradation test with stress optimization ZZ Ge, XY Li, JR Zhang, TM Jiang Advanced Materials Research 118, 404-408, 2010 | 27 | 2010 |
| Remaining useful life prediction for a machine with multiple dependent features based on Bayesian dynamic linear model and copulas F Sun, N Wang, X Li, W Zhang Ieee Access 5, 16277-16287, 2017 | 26 | 2017 |
| Optimal design for step-stress accelerated degradation testing based on D-optimality Z Ge, X Li, T Jiang, T Huang 2011 Proceedings-Annual Reliability and Maintainability Symposium, 1-6, 2011 | 26 | 2011 |
| A Bayesian least-squares support vector machine method for predicting the remaining useful life of a microwave component F Sun, X Li, H Liao, X Zhang Advances in mechanical engineering 9 (1), 1687814016685963, 2017 | 25 | 2017 |
| Bayesian optimal design of step stress accelerated degradation testing X Li, M Rezvanizaniani, Z Ge, M Abuali, J Lee Journal of Systems Engineering and Electronics 26 (3), 502-513, 2015 | 25 | 2015 |
| Bayesian accelerated acceptance sampling plans for a lognormal lifetime distribution under Type-I censoring X Li, W Chen, F Sun, H Liao, R Kang, R Li Reliability Engineering & System Safety 171, 78-86, 2018 | 23 | 2018 |
Rui KangBeihang University在 buaa.edu.cn 的电子邮件经过验证
