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周一帆

领域:高端装备制造产业 学校:东南大学职称:副教授

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教育背景

19999-20037东南大学机械工程学院学士

20038-200610东南大学机械工业学院硕博连读

200610-20104澳大利亚昆士兰科技大学环境与工程学院博士

工作经历

20105月至今东南大学机械工程学院讲师/副教授


项目课题经历

项目名称

项目类别

项目时间

工作类别

项目金额

多单元制造系统维修和生产的分布式联合优化 编号71671041

国家自然科学基金面上项目

201701月至 2020 12

负责人

48

考虑经济相关性和缓冲库存的串并联系统维修策略优化 编号71201025

国家自然科学基金青年基金

20121月至201512

负责人

19

基于DBN理论的多单元制造系统维修决策与库存控制的联合优化 编号20110092120007

高等学校博士学科点专项科研基金

20111月至201412

负责人

4

基于状态空间模型的轴承状态评价及寿命预测模型的研究 编号JSKLEDC201209

江苏省大型工程装备检测与控制重点建设实验室开放课题

20121月至20156

负责人

2

多重入制造系统质量控制建模关键技术研究 编号BK2011608

江苏省自然科技基金面上项目

20111月至201412

第二负责人

10

新型可编程控制器系统研发

企业横向课题

20121月至20136

参与

60

学术荣誉

  • 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering(国际会议)program committee, session chair

  • 2014 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (国际会议)program committee

  • 国家自然科学基金委员会管理科学与工程学科2013年度青年基金项目研究工作交流会:session chair

  • “泰山学术论坛—中国制造2025,从机械装备监控、维护到工程资产管理创新思维专题”:keynote speaker

  • 2016 International Conference on Quality,Reliability, Risk, Maintenance, and Safety Engineering(国际会议)programcommittee, session chair

论文、成果、著作等

Journal papers:

[1]Zhou,Y., T. Lin, et al. (2016)”Maintenance Optimisation of a Parallel-series System with Stochastic and Economic Dependence under Limited Maintenance Capacity.”Reliability Engineering& System Safety. 155: 137–146. (SCI)

[2]Zhou, Y., T. Lin, et al. (2015)”An Effective Approach to Reducing Strategy Space for Maintenance Optimisation of Multistate Series-parallel Systems.”Reliability Engineering & System Safety. 135: 40–53. (SCI)

[3]Zhou, Y., Z. Zhang (2015)”Optimal Maintenance of a Series Production System with Two Multi-component Subsystems and an Intermediate Buffer.”Maintenance and Reliability. 17 (2): 314–325. (SCI)

[4]Zhou, Y., Z. Zhang, et al. (2013) “Maintenance Optimisation of a Multi-state Series-parallel System Considering Economic Dependence and State-dependent Inspection Intervals.” Reliability Engineering & System Safety. 111: 248–259. (SCI)

[5]Zhou, Y., Yong. Sun, et al. (2011) “Latent Degradation Indicators Estimation and Prediction: a Monte Carlo Approach.”Mechanical Systems and Signal Processing 25(1): 222-236. (SCI)

[6]Zhou, Y., L. Ma, et al. (2011) “Maintenance Strategy Optimization Using a Continuous-state Partially Observable Semi-Markov Decision Process.”Microelectronics Reliability 51(2): 300-309. (SCI)

[7] Zhou, Y., L. Ma, et al. (2009). “Asset Life Prediction Using Multiple Degradation Indicators and Failure Events: A Continuous State Space Model Approach.”Maintenance and Reliability 11(4): 72-81. (SCI)

[8]Zhang, Z.,Y. Zhou, et al. (2012). “Condition-based Maintenance Optimisation without a Predetermined Strategy Structure for a Two-component Series System.”Maintenance and Reliability14(2): 120-129. (SCI)

[9]Gan, S., Z. Zhang,Y. Zhou, J. Shi. “Joint optimization of maintenance, buffer, and spare parts for a production system.”Applied Mathematical Modelling, In Press. (SCI)

[10]Gan, S., Z. Zhang,Y. Zhou, J. Shi. (2013) “Intermediate Buffer Analysis for a Production System.”Applied Mathematical Modelling, 37, 8785–8795. (SCI)

[11]Zhang, Z., W. Gao,Y. Zhou and et al.2012. “Reliability Modeling and Maintenance Optimization of the Diesel System in Locomotives.”Maintenance and Reliability. 14(4):302-311. (SCI)

Conference papers:

[1] Zhou, Y., Z. Zhang, et al. (2013). “An Efficient maintenance Optimisation Method for Series-parallel Systems Using Stochastic Ordering and Revenue Difference Boundaries”. ICQR2MSE 2013, IEEE (EI)

[2] Zhou, Y., Z. Zhang, et al. (2012). “Maintenance Optimisation of a Series-parallel System with Multi-state Components Considering Economic Dependence”. ICQR2MSE 2012, IEEE (EI)

[3] Zhou, Y., L. Ma, et al. (2010). “Maintenance decision-making using a continuous-state partially observable semi-Markov decision process”. PHM2010, IEEE (EI) (recommend as “best paper” by the IEEE-PHM conference)

[4] Zhou, Y., L. Ma, et al. (2009). “Asset Life Prediction Using Multiple Degradation Indicators and Lifetime Data: a Gamma-Based State Space Model Approach”. ICRMS 2009, IEEE (EI) (recommend as “best paper” by the ICRMS conference)

科研项目

专利、著作版权等

201410009324.1

一种基于PLC编程中SFC到梯形图的转换方法

发明专利

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