Fuqiang Sun
Fuqiang Sun
Associate Professor, Beihang University
Verified email at - Homepage
Cited by
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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
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
A general accelerated degradation model based on the Wiener process
L Liu, X Li, F Sun, N Wang
Materials 9 (12), 981, 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
Lamb wave damage quantification using GA-based LS-SVM
F Sun, N Wang, J He, X Guan, J Yang
Materials 10 (6), 648, 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
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
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
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
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
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
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
A copula entropy approach to dependence measurement for multiple degradation processes
F Sun, W Zhang, N Wang, W Zhang
Entropy 21 (8), 724, 2019
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
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
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
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 (1), 59-70, 2019
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 (1), 135-145, 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
Ultimate tensile strength in fused deposition modeling considering process parameters of flow rate and printing head speed
T Hou, T Huang, F Sun, S Wang
2018 12th International Conference on Reliability, Maintainability, and …, 2018
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