段凤君
近期热点
资料介绍
个人简历
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研究领域
可靠性统计,退化数据建模,退化试验设计""近期论文
◆ 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 inverseGaussian processbased on proportional degradation rate model. Journal of Statistical Computation andSimulation, 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 ongamma 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 gammaprocess with random effects. Computers & Industrial Engineering, 2018. Accepted.(SCI)◆ Guanjun Wang, Fengjun Duan, Yifan Zhou. Reliability evaluation of multi-state series systems with performancesharing. Reliability Engineering & System Safety, 2018, 173: 58-63. (SCI)◆ Huan Wang, Guanjun Wang, Fengjun Duan. Planning of step-stress accelerated degradation test based on theinverse Gaussian process. Reliability Engineering & System Safety, 2016, 154: 97-105. (SCI)◆ Fengjun Duan, Guanjun Wang. Reliability modeling of two-phase gamma degradation process. 2017 IEEEInternational 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. 2017Second 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 onthe 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 gammaprocess. 2018 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM2018)& 2018 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE2018). 相关热点
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