个人简介
许丹,博士,北京航空航天大学可靠性与系统工程学院副教授,博士生导师,美国新泽西州立罗格斯大学访问学者,北航蓝天新秀,北航青年拔尖人才。主要研究方向为系统可靠性建模与评估,基于多源数据融合的运行状态智能评价,基于故障物理和统计模型的寿命预测,加速试验与退化建模。作为负责人主持国家自然科学基金、省部级基金、国家973专题,参与国家重点研发计划、自然基金、企业研究项目等20余项。发表SCI/EI论文50余篇,其中第一作者身份发表SCI论文19篇,授权国家发明专利15项,软件著作权2项。现为中国指挥与控制学会可靠性系统科学与工程专业委员会委员,IEEE可靠性协会会员,中国运筹学会终身会员,担任《IEEE Transactions on Reliability》、《Reliability Engineering & System Safety》、《IEEE Transactions on Industrial Informatics》、《Mechanical Systems and Signal Processing》、《Quality and Reliability Engineering International》、《Journal of Intelligent Manufacturing》等多个SCI期刊审稿专家,获省部级科学技术进步一等奖和北京市科技三等奖,北航优秀硕士学位论文指导教师。
教育经历
1999.9 -- 2003.7 北京航空航天大学 机械工程及自动化学院 机械设计及其自动化 大学本科 学士
2003.9 -- 2009.3 北京航空航天大学 机械工程及自动化学院 机械制造及其自动化 博士 博士
工作经历
2014.4 -- 2015.4 美国新泽西州立罗格斯大学 工业工程系 公派访问学者
2009.3 -- 2011.1 北京航空航天大学 可靠性与系统工程学院 博士后
研究领域
基于故障物理和统计模型的寿命预测
基于多源数据融合的运行状态智能评价
系统可靠性建模与评估
[加速试验与退化建模
近期论文
查看导师新发文章
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Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula:Reliability Engineering & System Safety
Reliability assessment with varying safety threshold for shock resistant systems:Reliability Engineering & System Safety
Dan Xu, Jiaolan He, Zhou Yang.Reliability Prediction Based on Birnbaum-Saunders Model and its application to smart meter:Annals of Operations Research
Dan Xu, Zhixin Feng, Shaobo Sui, et al.Reliability assessment of electrohydraulic actuation control system subject to multisources degradation processes:IEEE/ASME Transactions on Mechatronics
Fatigue Damage Mechanism-based Dependent Modeling with Stochastic Degradation and Random Shocks:IEEE ACCESS,2018,6:3120-3129
RUL Prediction of Electronic Controller Based on Multiscale Characteristics Analysis:Mechanical Systems and Signal Processing,2017
Failure Behavior Modeling and Reliability Estimation of Product Based on Vine-Copula and Accelerated Degradation Data:Mechanical Systems and Signal Processing,2017
Imperfect Maintenance Policy Considering Positive and Negative Effects for Deteriorating Systems with Variation of Operating Conditions:IEEE Transactions on Automation Science and Engineering,2018,15(2):872-878
Multivariate Degradation Modeling of Smart Electricity Meter with Multiple Performance Characteristics via Vine Copulas:Quality and Reliability Engineering International,2017,33(4):803-821
Reliability Assessment Model Considering Heterogeneous Population in a Multiple Stresses Accelerated Test:Reliability Engineering & System Safety,2017,165:134-143
Multi-stress Equivalent Optimum Design for Ramp-stress Accelerated Life Test Plans Based on D-efficiency:IEEE ACCESS,2017,5:25854-25862
Study of Preferred Profile of Accelerated Stability Test Method for Quartz Flexible Accelerometer:Journal of Testing and Evaluation,2016,44(3):1084-1094
Research on Dynamic Modeling and Application of Kinetic Contact Interface in Machine Tool:Shock and Vibration,2016
Reliability Prediction using Physics-Statistics-based Degradation Model:IEEE Transactions on Components, Packaging and Manufacturing Technology,2015,5(11):1573-1581