航空航天学院
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导师代码: |
20347
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导师姓名: |
胡家文
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性 别: |
男 |
特 称: |
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职 称: |
副研究员
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学 位: |
工学博士学位
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属 性: |
专职 |
电子邮件: |
hdl@uestc.edu.cn
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学术经历:
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2020.09-至今 电子科技大学, 航空航天学院, 副研究员
2018.01-2021.01 新加坡国立大学,工业与系统工程系, 博士后研究员
2013.09-2017.12 上海交通大学, 机械工程(工业工程),博士
2016.08-2017.08 美国阿肯色大学,工业工程, 联合培养博士生
2009.09-2012.07 中国科学院大学,机械制造及其自动化, 硕士
2005.09-2009.07 上海交通大学, 机械工程及自动化, 学士
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个人简介:
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四川省‘峨眉计划’青年创新人才(省****),TCL青年学者,主持国家自然科学基金项目2项,四川省重大专项、重点研发、面上项目各1项。授权发明专利10余项,发表论文30余篇(其中一作/唯一通讯SCI论文18篇),1篇ESI高被引论文,2篇论文被国际媒体AIE遴选为关键科学文章(入选率低于1‰)。
任教育部学位论文、学科评估通讯评审专家,SCI期刊QREI、Sustainability客座主编,IJDATS编委,现场统计学可靠性分会、双法工业工程学会理事。
获电子科技大学2021年学术新人奖,双法工业工程学会2022年优秀论文奖。
欢迎具有机械工程、工业工程、数学背景的同学报考2025年研究生。
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科研项目:
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非完美在线监测数据下起落架预测性检修策略与作业动态优化研究, 国家自然科学基金委(面上), 负责人
动态运行工况下多维失效相关系统可靠性建模及维护决策研究, 国家自然科学基金委(青年), 负责人
非完备在线监测数据驱动的航空发动机预测性检修策略研究, 四川省自然科学基金委(面上), 负责人
白鹤滩水电站快速门震动异响原因及防控措施研究, 白鹤滩水电站, 负责人
基于数据挖掘的航空发动机修理数据综合应用平台开发, 四川省重点研发, 校方负责人
拉式生产模式下混联系统设备的预防维护决策和博弈协作, 国家自然科学基金委, 主研
基于动态作业负荷的混联制造系统预知维护和机会维修方法, 国家自然科学基金委, 主研
ZL实验平台的搭建与实验保障, 七零四 , 主研
FJ冲击试验台的设计与研制, 七零四, 主研
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研究成果:
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[21] Hu J, Huang Y, Shen L. Maintenance optimization of a two-component series system considering masked causes of failure[J]. Quality and Reliability Engineering International, https://doi.org/10.1002/qre.3423.
[20] An Y, Chen X, Hu J, et al. Integrated optimization of condition-based preventive maintenance and production rescheduling with multi-phase processing speed selection and old machine scrap[J]. Reliability Engineering & System Safety, 2023: 109399.
[19] Jiang J, An Y, Hu J, et al. Integrated optimization of non-permutation flow shop scheduling and maintenance planning with variable processing speed[J]. Reliability Engineering & System Safety, 2023: 109143.
[18] An Y, Chen X, Hu J, et al. Joint optimization of preventive maintenance and production rescheduling with new machine insertion and processing speed selection[J]. Reliability Engineering & System Safety, 2022: 108269.
[17] Hu J, Sun Q, Ye Z. Replacement and Repair Optimization for Production Systems Under Random Production Waits [J]. IEEE Transactions on Reliability, (2022), 71(4), 1488-1500.
[16] Hu J, Sun, Q, Ye, Z, Ling, X. Sequential degradation-based burn-in test with multiple periodic inspections. Frontiers of Engineering Management, (2021), 1-12.
[15] Hu J, Xu A, Li B, Liao H. Condition-based Maintenance Planning for Multi-State Systems under Time-Varying Environmental Conditions. Computers & Industrial Engineering, (2021), 107380. SCI. IF=5.431
[14] Hu J, Sun Q, Ye Z, Zhou Q. Joint Modeling of Degradation and Lifetime Data for RUL Prediction of Deteriorating Products[J]. IEEE Transactions on Industrial Informatics, (2020), 17(7), 4521-4531. SCI. IF=9.112.
[13] Hu J, Jiang Z, Liao H. Joint optimization of job scheduling and maintenance planning for a two-machine flow shop considering job-dependent operating condition[J]. Journal of Manufacturing Systems, 57(2020): 231-241. SCI. IF=5.105.
[12] Shen J, Hu J*, Ma Y. Two preventive replacement strategies for systems with protective auxiliary parts subject to degradation and economic dependence[J]. Reliability Engineering and System Safety, (2020), 107144. 10.1016/j.ress.2020.107144. SCI. IF=5.04.
[11] Hu J, Shen J, Shen L. Opportunistic maintenance for two-component series systems subject to dependent degradation and shock[J]. Reliability Engineering and System Safety, (2020), 106995. doi.org/10.1016/j.ress.2020.106995. IF=5.04.
[10] Wang N, Hu J*, Ma L, Xiao B, Liao H. Availability analysis and preventive maintenance planning for systems with general time distributions [J]. Reliability Engineering and System Safety, (2020), 106993. doi.org/10.1016/j.ress.2020.106993. SCI. IF=5.04.
[9] Hu J, Sun Q, Ye Z. Condition-based maintenance planning for systems subject to dependent soft and hard failures[J]. IEEE Transactions on Reliability, 2020: 70(4), 1468-1480. SCI.
[8] Hu J, Shen J, Shen L. Periodic preventive maintenance planning for systems working under a markovian operating condition[J]. Computers & Industrial Engineering, (2020): 106291. SCI. IF=4.135.
[7] Xu A, Hu J*, Wang P. Degradation modeling with subpopulation heterogeneities based on the inverse Gaussian process[J]. Applied Mathematical Modelling, 81 (2020): 177-193. SCI.
[6] Shen J, Hu J*, Ye Z. Optimal switching policy for warm standby systems subject to standby failure mode[J]. IISE Transactions, (2020): 1-13. doi: 10.1080/24725854.2019.1709136. SCI.
[5] Hu J, Chen P. Predictive maintenance of systems subject to hard failure based on proportional hazards model [J]. Reliability Engineering and System Safety, 196 (2020): 106707. SCI. IF=5.04.
[4] Hu J, Jiang Z, Liao H. Preventive maintenance of a single machine system working under piecewise constant operating condition[J]. Reliability Engineering and System Safety, 2017, 168(2017): 105-115. SCI. IF=5.04.
[3] Hu J, Jiang Z, Liao H. Preventive maintenance of a batch production system under time-varying operational condition[J]. International Journal of Production Research, 2017, 55(19): 5681-5705. SCI. IF=4.577.
[2] Hu J, Jiang Z, Wang H. Preventive maintenance for a single-machine system under variable operational conditions[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2016, 230(4): 391-404. SCI.
[1] Hu J, Jiang Z, Wang H. Joint optimization of production plan and preventive maintenance schedule by Stackelberg game[J]. Asia-Pacific Journal of Operational Research, 2017, 34(4): 1750012-1-28. SCI.
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专业研究方向:
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专业名称 |
研究领域/方向 |
招生类别 |
082500航空宇航科学与技术 |
01智能飞行器系统设计,02空天信息控制及空天智能制造,03航空宇航智能制造工程 |
硕士学术学位 |
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