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2024年四川省科技进步三等奖，2021年电子科技大学学术新人奖，2022年双法工业工程学会优秀论文奖，2025年航空装备数智试验优秀论文奖。
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
航空发动机故障数据集扩充与故障预测研究， 中航发四川涡轮研究院， 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
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面上， 负责人
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| 研究成果：
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[26]Zhang S, Hu J.*, and Wang L. Fault Diagnosis of Aero-Engine Gas Path System Under Time-varying Operating Condition[J]. Quality and Reliability Engineering International, 2025, https://doi.org/10.1002/qre.70006.
[25] Sun Q, Hu J.*, and Ye ZH*. Optimal Abort Policy for Mission-Critical Systems under Imperfect Condition Monitoring[J]. Operations Research, 2025, https://doi.org/10.1287/opre.2022.0643
[24]Xu H, Gan W, Huang J, and Hu J.*. Optimal Sensor Placement for Structure Health Monitoring—A Case Study on Fast Door System of the Baihetan Hydropower Station[J]. Quality and Reliability Engineering International, 2025, https://doi.org/10.1002/qre.3792
[23]Hu J. and Chen, P. Mission Abort Policy Considering Imperfect Alarms and Two Abort Options[J]. Naval Research Logistics, 2025, https://doi.org/10.1002/nav.22260
[22] Kang W., Wang D., Jongbloed G., Hu J.*, and Chen P. Robust Transfer Learning for Battery Lifetime Prediction Using Early Cycle Data[J], IEEE Transactions on Industrial Informatics, 2025, https://doi.org/10.1109/TII.2025.3545079
[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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