林焱辉
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职???????称?????????副教授、博士生导师
行政职务?????????-
所在机构?????????重点实验室
座???????机?????????**
办公地址?????????西办公楼315
电子邮箱?????????linyanhui@buaa.edu.cn
个人主页????????

--> 研究方向
(1) 部件与系统的退化过程建模(2) 基于退化过程的部件与系统故障预测与健康管理(PHM)(3) 可靠性评估(4) 不确定性分析 教育背景
2016. 02 - 2016. 08 香港城市大学，系统工程与工程管理学院，Senior Research Associate2012. 12 - 2016. 01 法国巴黎-萨克雷大学博士，工业科学与技术 （论文题目：一种关于核安全系统可靠性分析与维修优化的退化建模综合框架） 2011. 09 - 2012. 12 法国巴黎中央理工学院硕士，建模与仿真 2010. 09 - 2013. 02 北京航空航天大学硕士，飞行器设计 （论文题目：老龄化组件系统的可靠性建模分析和风险评估），中法工程师学院2006. 09 - 2010. 07 北京航空航天大学学士，数学与应用数学，中法工程师学院 学术兼职
IEEE学会会员PHMAP17 分会主席IEEE transaction on reliability、Reliability engineering and system safety、IIE transactions等国际学术期刊审稿人 讲授课程
《概率论》《Reliability and Availability for Maintenance》《Optimization of continuous-time Markov Chain》《Fault tree and event tree analysis》 奖励与荣誉
第五批北航青年拔尖人才支持2016年“卓越百人” 学术成果
主要科研项目：(1). "考虑不确定性与相关性的退化过程建模与动态评估方法"，2019.1-2022.12，国家自然科学基金面上项目(2). "基于失效模式的可靠性设计及验证"，2017-2020，国家重点研发计划项目课题(3). "卓越百人"，2016-2020，“双一流”专项，北航卓越百人启动经费(4). "Development of methods for modeling degradation and maintenance of critical components and of a framework for integrating information and data of different nature"，2013-2016，EDF-CRSA Project(5). "Modeling of Ageing Components for System Reliability Analysis and Risk Assessment"，2011-2013，LIA 2MCSI Project主要科研成果：以第一作者通讯作者在国际著名学术期刊(IEEE/IIE 会刊)，如：IEEE Transactions on Reliability，IEEE Transactions on Fuzzy Systems，IEEE Transactions on Industrial Informatics以及IIE Transactions，发表多篇学术论文。主要代表性论文如下：[1]. Yan-Hui. Lin*, Y.-F. Li, E. Zio. Fuzzy Reliability Assessment of Systems with Multiple Dependent Competing Degradation Processes. IEEE Transactions on Fuzzy Systems, vol. 23, no. 5, pp. 1428-1438, 2015. [2]. Yan-Hui. Lin*, Y.-F. Li, E. Zio. Integrating Random Shocks into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment. IEEE Transactions on Reliability, vol. 64, no. 1, pp. 154-166, 2015. [3]. Yan-Hui. Lin*, Y.-F. Li, E. Zio. Component Importance Measures for Components with Multiple Dependent Competing Degradation Processes and Subject to Maintenance. IEEE Transactions on Reliability, vol. 65, no. 2, pp. 547-557, 2016. [4]. Yan-Hui. Lin, Y.-F. Li, E. Zio. Reliability Assessment of Systems Subject to Dependent Degradation and Random Shock Processes. IIE Transactions, 2016. [5]. Yan-Hui. Lin*, Y.-F. Li, E. Zio. A Reliability Assessment Framework for Systems with Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016. [6]. Yan-Hui. Lin, Y.-F. Li, E. Zio. A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependency based on PDMPs. IEEE Transactions on Industrial Informatics, 2017.[7]. Yan-Hui. Lin*, X. -Y. Li and R. Kang. A State Transfer Scheduling Optimization Framework for Standby Systems. IEEE Transactions on Reliability, 2017.[8]. Yan-Hui. Lin*, R. C. M. Yam. Uncertainty importance measures of dependent transition rates for transient and steady state probabilities. Reliability Engineering & System Safety, vol. 165, pp. 402-409, 2017.[9]. Yan-Hui Lin, Y.-F. Li, E. Zio. A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems, Reliability Engineering & System Safety, 2018.02, 174: 1~11.[10]. Yanhui Lin, X. Li, Y. Hu. Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications. Applied Soft Computing, 2018.专著章节：[1]. Yan-Hui. Lin*, Y.-F. Li, E. Zio. Reliability Assessment of Systems with Dependent Degradation Processes Based on Piecewise-Deterministic Markov Process. In: Lisnianski A., Frenkel I. and Karagrigoriou A. (eds) Recent Advances in Multi-state Systems Reliability. Springer Series in Reliability Engineering. Springer, Cham, 2018. [2]. Y.-F. Li, E. Zio, Yan-Hui. Lin. Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling. In: Frenkel I. B., Karagrigoriou A., Lisnianski A. and Kleyner A. (eds) Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference, John Wiley & Sons, Ltd, Chichester, UK, 2013.欢迎对上述研究内容感兴趣的同学与我联系与交流！
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