周一帆 - 东南大学 - 机械工程学院

个人简介

周一帆职称副教授办公室机械楼523 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)：programcommittee, 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71671041 国家自然科学基金面上项目 2017年01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71201025 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20110092120007 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BK2011608 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 201510815962.7 应用改进的ALP算法优化并串联系统维修的方法发明专利 201410117570.9 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 201410009324.1 一种基于PLC编程中SFC到梯形图的转换方法发明专利

研究领域

可靠性与设备维修策略优化统计质量控制制造业企业信息化

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Journal papers: [1]Zhou Y., Miao J., et al. (2020)”Bio-objective long-term maintenance scheduling for wind turbines in multiple wind farms.” Renewable Energy. 160. (SCI) [2]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) [3]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) [4]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) [5]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) [6]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) [7]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) [8]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) [9] 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) [10]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) [11]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) [12]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) [13]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) [14]Gan, S., Z. Zhang,Y. Zhou, J. Shi. (2013) “Intermediate Buffer Analysis for a Production System.”Applied Mathematical Modelling, 37, 8785–8795. (SCI) [15]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] Liu, L., Zhou, Y., et al. (2019) “Large-scale Maintenance Scheduling of Wind Turbines.” PHM-Qingdao 2019 (EI). [2] Yuan C , Zhou, Y., et al. (2019) “A Condition-Based Maintenance Policy for a Serial Flow Line with Multiple Intermediate Buffers.” QR2MSE 2019 (EI) [3] 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). [4] 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). [5] 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) [6] 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) [7] 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) [8] 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)