教育经历 2013.09-2018.06 东南大学数学学院 统计学专业 理学博士 2009.09-2013.06 安徽师范大学 数学与统计学院 统计学专业 理学学士

教学课程 经济学综合实验

可靠性统计，退化数据建模，退化试验设计

◆ Fengjun Duan, Guanjun Wang. Exponential-dispersion degradation process models with random effects and covariates.IEEE Transactions on Reliability, 2018, 67(3): 1128-1142. (SCI) ◆ Fengjun Duan, Guanjun Wang. Optimal step-stress accelerated degradation test plans for inverse Gaussian processbased on proportional degradation rate model. Journal of Statistical Computation and Simulation, 2018, 88(2): 305-328.(SCI) ◆ Fengjun Duan, Guanjun Wang, Huan Wang. Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective. Communications in Statistics - Simulation and Computation, 2018, 47(1): 166-186.(SCI) ◆ Fengjun Duan, Guanjun Wang. Optimal design for constant-stress accelerated degradation test based on gamma process. Communications in Statistics-Theory and Methods, DOI: 10.1080/03610926.2018.1459718, 2018.(SCI) ◆ Fengjun Duan, Guanjun Wang. Planning of step-stress accelerated degradation test based on nonstationary gamma process with random effects. Computers & Industrial Engineering, 2018. Accepted.(SCI) ◆ Guanjun Wang, Fengjun Duan, Yifan Zhou. Reliability evaluation of multi-state series systems with performance sharing. Reliability Engineering & System Safety, 2018, 173: 58-63. (SCI) ◆ Huan Wang, Guanjun Wang, Fengjun Duan. Planning of step-stress accelerated degradation test based on the inverse Gaussian process. Reliability Engineering & System Safety, 2016, 154: 97-105. (SCI) ◆ Fengjun Duan, Guanjun Wang. Reliability modeling of two-phase gamma degradation process. 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), IEEE, 2017: 620-621. (EI) ◆ Fengjun Duan, Guanjun Wang. Reliability modeling of two-phase inverse Gaussian degradation process. 2017 Second International Conference on Reliability Systems Engineering (ICRSE),IEEE, 2017: 1-6. (EI) ◆ Fengjun Duan, Guanjun Wang. Bivariate constant-stress accelerated degradation model and inference based on the inverse Gaussian process. Journal of Shanghai Jiaotong University (Science), DOI: 10.1007/s12204-018-1984-z, 2018.(EI) ◆Fengjun Duan, Guanjun Wang. Planning of step-stress accelerated degradation test based on non-stationary gamma process. 2018 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM2018) & 2018 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE2018).