| A comparison study of machine learning based algorithms for fatigue crack growth calculation H Wang, W Zhang, F Sun, W Zhang Materials 10 (5), 543, 2017 | 70 | 2017 |
| Reliability analysis for a system experiencing dependent degradation processes and random shocks based on a nonlinear Wiener process model F Sun, H Li, Y Cheng, H Liao Reliability Engineering & System Safety 215, 107906, 2021 | 48 | 2021 |
| 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 |
| 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 | 42 | 2017 |
| A general accelerated degradation model based on the Wiener process L Liu, X Li, F Sun, N Wang Materials 9 (12), 981, 2016 | 42 | 2016 |
| Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula F Sun, F Fu, H Liao, D Xu Reliability Engineering & System Safety 204, 107168, 2020 | 40 | 2020 |
| Lamb wave damage quantification using GA-based LS-SVM F Sun, N Wang, J He, X Guan, J Yang Materials 10 (6), 648, 2017 | 40 | 2017 |
| 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 |
| 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 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 |
| An analytical model for fatigue crack propagation prediction with overload effect S Jiang, W Zhang, X Li, F Sun Mathematical Problems in Engineering 2014, 2014 | 22 | 2014 |
| Utilizing accelerated degradation and field data for life prediction of highly reliable products L Liu, XY Li, TM Jiang, FQ Sun Quality and Reliability Engineering International 32 (7), 2281-2297, 2016 | 20 | 2016 |
| Acceptance sampling plan of accelerated life testing for lognormal distribution under time-censoring X Li, P Gao, F Sun Chinese Journal of Aeronautics 28 (3), 814-821, 2015 | 18 | 2015 |
| A copula entropy approach to dependence measurement for multiple degradation processes F Sun, W Zhang, N Wang, W Zhang Entropy 21 (8), 724, 2019 | 17 | 2019 |
| A time-varying copula-based prognostics method for bivariate accelerated degradation testing F Sun, N Wang, X Li, Y Cheng Journal of Intelligent & Fuzzy Systems 34 (6), 3707-3718, 2018 | 13 | 2018 |
| Constant stress ADT for superluminescent diode and parameter sensitivity analysis X Li, T Jiang, F Sun, J Ma Eksploatacja I Niezawodnosc-Maintenance and Reliability, 21-26, 2010 | 13 | 2010 |
| Modified Norris–Landzberg model and optimum design of temperature cycling alt FQ Sun, JC Liu, ZQ Cao, XY Li, TM Jiang Strength of Materials 48, 135-145, 2016 | 12 | 2016 |
| Reliability analysis with multiple dependent features from a vibration-based accelerated degradation test F Sun, J Liu, X Li, H Liao Shock and Vibration 2016, 2016 | 12 | 2016 |
| In-situ microscopy testing of plasticity variation ahead of fatigue crack tip in AL2024-T3 W Zhang, L Cai, D Zhou, F Sun International Journal of Fracture 216, 59-70, 2019 | 10 | 2019 |
| A Bayesian optimal design for sequential accelerated degradation testing X Li, Y Hu, F Sun, R Kang Entropy 19 (7), 325, 2017 | 8 | 2017 |
Li XiaoyangBeihang UniversityVerified email at buaa.edu.cn
