姓 名
周一帆




职 称
副教授




办公室
机械楼523




电 话





信 箱
yifan.zhou@seu.edu.cn











工作经历

2010年5月至今东南大学机械工程学院讲师/副教授




学习经历

1999年9月-2003年7月东南大学机械工程学院学士

2003年8月-2006年10月东南大学机械工业学院硕博连读

2006年10月-2010年4月澳大利亚昆士兰科技大学环境与工程学院博士




讲授课程

应用统计学

可靠性工程

机器人工程

程序设计及算法语言II

计算机综合课程设计

创造学与创造力开发训练


研究方向

1.人工智能算法

2.可靠性与设备维修策略优化

3.统计质量控制




论文著作

Journal papers:
[1] Zhou, Y.,Yuan C., et al. (2020) “Maintenance policy structure investigation and optimisation of a complex production system with intermediate buffers.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. (SCI)
[2] Zhou, Y., Miao J., et al. (2020) “Bio-objective long-term maintenance scheduling for wind turbines in multiple wind farms.” Renewable Energy.160. (SCI)
[3] Zhou, Y., Guo Y., et al. (2018) “Maintenance optimisation of a series production system with intermediate buffers using a multi-agent FMDP”. Reliability Engineering & System Safety. 180:39-48.(SCI)
[4] 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)
[5] 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)
[6] 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)
[7] Zhou, Y., Z. Zhang, et al. (2013) “Maintenance Optimisation of a Multi-StateSeries-parallel System Considering Economic Dependence and State-dependent Inspection Intervals.”Reliability Engineering & System Safety. 111: 248–259. (SCI)
[8] Zhou, Y., Yong. Sun, et al. (2011) “Latent Degradation Indicators Estimation and Prediction: A Monte Carlo Approach.” Mechanical Systems and Signal Processing25(1): 222-236. (SCI)
[9] Zhou, Y., L. Ma, et al. (2011) “Maintenance Strategy Optimization Using a Continuous-state Partially Observable Semi-Markov Decision Process.” Microelectronics Reliability51(2): 300-309. (SCI)
[10]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 Reliability11(4): 72-81. (SCI)
[11] Guo Y., Ye F, Zhou Y., et al. (2020)” Fault diagnosis of multi-channel data in a forging process using the linear support higher-order tensor machine.” International Journal of Computer Integrated Manufacturing. 2:1-13. (SCI)
[12] Ye F., Zhang Z, Zhou Y., et al. (2019)” Monitoring and diagnosis of multi-channel profile data based on uncorrelated multilinear discriminant analysis.” International Journal of Advanced Manufacturing Technology. 103(4). (SCI)
[13] 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)
[14] 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)
[15] Gan, S., Z. Zhang, Y. Zhou, J. Shi. (2013) “IntermediateBuffer Analysis for a Production System.” Applied Mathematical Modelling, 37, 8785–8795. (SCI)
[16] Zhang, Z., W. Gao, Y. Zhouand 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] YuC., Zhou, Y., et al. (2020) “Multi-Agent Reinforcement Learning for Dynamic Spare Parts Inventory Control” Global Reliability and Prognostics and Health Management (PHM-Shanghai) 2020 (EI)(recommend as “best paper” by the IEEE-PHM conference)
[2] Li B C., Zhou, Y., et al. (2020)"Multi-component Maintenance Optimization: An Approach combining Genetic Algorithm and Multi-Agent Reinforcement Learning" Global Reliability and Prognostics and Health Management (PHM-Shanghai) 2020 (EI)
[3]Liu, L., Zhou, Y., et al. (2019) “Large-scale Maintenance Scheduling of Wind Turbines.” PHM-Qingdao 2019 (EI).
[4]Yuan C, Zhou, Y., et al. (2019) “A Condition-Based Maintenance Policy for a Serial Flow Line with Multiple Intermediate Buffers.” QR2MSE 2019 (EI)
[5] Miao J D, Zhou, Y., et al. (2018) “The Bio-Objective Long Term Maintenance Scheduling for Wind Turbines Considering Weather Conditions.” PHM-Chongqing 2018 (EI).
[6]Yan B, Zhou, Y., et al. (2018) “Condition Based Maintenance of the Yaw Motor in a Wind Turbine Using an Indirect Indicator: A Case Study.” PHM-Chongqing 2018 (EI).
[7]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)
[8]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)
[9]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)
[10]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)




个人荣誉

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)：program committee, session chair
2019 “我最喜爱的导师”评选活动中被评为“十佳导师”



科研项目
项目名称
项目类别
项目时间
工作类别
项目金额

高维状态空间与策略空间的复杂系统维修优化
国家自然科学基金面上项目
2021年1月至2024年12月
负责人
48万

轨道交通自动门系统驱动电机BLDC加速寿命试验研究
江苏省重点实验室开放基金
2017年12月至2019年12月
负责人
10万

多单元制造系统维修和生产的分布式联合优化 编号**
国家自然科学基金面上项目
2017年1月至 2020年 12月
负责人
48万

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**
国家自然科学基金青年基金
2012年1月至2015年12月
负责人
19万

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007
高等学校博士学科点专项科研基金
2011年1月至2014年12月
负责人
4万

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
2012年1月至2015年6月
负责人
2万

多重入制造系统质量控制建模关键技术研究编号BK**
江苏省自然科技基金面上项目
2011年1月至2014年12月
第二负责人
10万

新型可编程控制器系统研发
企业横向课题
2012年1月至2013年6月
参与
60万


专利号
专利名称
专利类型

2.7
应用改进的ALP算法优化并串联系统维修的方法
发明专利

0.9
一种基于空间缩减多状态系统维修策略的优化方法
发明专利

4.1
一种基于PLC编程中SFC到梯形图的转换方法
发明专利