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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2018.01-2020.12 新加坡国立大学， 工业系统工程， 博士后
2016.08-2017.08 阿肯色大学， 工业工程， 联合培养博士
2013.09-2017.12 上海交通大学， 机械工程（工业工程）， 博士
2009.09-2012.07 中国科学院， 机械制造及自动化， 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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四川省天府峨眉计划科技人才，TCL青年学者。
围绕高端装备状态监测与智能运维开展研究，作为项目负责人主持国家自然科学基金面上2项和青年1项，四川省重大科技专项2项（校内负责）、重点研发1项（校内负责）、面上项目1项，以及工业部门科研任务8项。
一作/通讯在Operations Research、NRL、IISE Transactions、IEEE TII、ITR、RESS等本领域权威期刊共发表SCI检索论文30余篇（中科院一/二区20余篇，ESI高被引2篇）；授权发明专利5项，出版专著1部。
获2024年四川省科技进步三等奖，2024年电子科技大学教学成果一等奖，2021年电子科技大学学术新人奖，ICRMS2025以及SRSE2025最佳论文奖等。受邀作大会报告2次、邀请报告4次。
任SCI期刊QREI、Sustainability客座主编，机床与液压、航空工程进展青年编委，中国技术经济学会****技术经济分会副主任委员，现场统计研究会可靠性工程分会副秘书长。
欢迎具有机械工程、工业工程、数学背景的同学报考2026年研究生。
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| 科研项目：
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机试联动的航空发动机气路系统视情维修研究，2026-2029，国自然面上，主持
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，2022-2025，国自然面上，主持
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，2019-2021，国自然青年，主持
电子产品网络协同调试软件平台研发与应用，2022-2026，四川省重大科技专项，校内主持
基于数据挖掘的航空发动机修理数据综合应用平台开发，2021-2023，四川省重点研发，校内主持
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，2023-2024，四川省自科面上，主持
白鹤滩水电站快速门震动异响原因及防控措施研究，2023-2025，长江电力白鹤滩电厂，主持
航空发动机故障数据集扩充与故障预测研究，2024-2025，中航发四川涡轮研究院，主持
多级容错计算机系统数字模型与运行仿真环境，2024-2026，中航工业西安计算机研究所，主持
设备健康监测及故障预警算法与集成应用，2025-2026，中国兵器装备集团自动化研究所，主持
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| 研究成果：
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[1] Wu T, Hu J*, Ye Z S, Chen N. Deep tobit model: an integrated framework for high-dimensional censored regression with variable selection[J]. Lifetime Data Analysis, 2026, 32(1): 10
[2] Hu J and Sun Q. A dynamic inspection and replacement policy for systems subject to degradation and periodic shocks [J]. Reliability Engineering & System Safety, 2025, 266:111765
[3] Hu J, Li M, Zhou S, Lian X, and Shi Y. A Wiener process with generalized heterogeneity and volatility-rate dependence for degradation analysis[J]. Applied Mathematical Modelling, 2025, 151:116432
[4] Zhu R, Hu J*, and Peng W. Bayesian Calibrated Physics-Informed Neural Networks for Second-Life Battery SOH Estimation[J]. Reliability Engineering & System Safety, 2025, 264:111432
[5] 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, 41(7):2838-2852.
[6] Sun Q, Hu J*, and Ye ZH.* Optimal Abort Policy for Mission-Critical Systems under Imperfect Condition Monitoring[J]. Operations Research, 2025, 73(5):2396-2416.
[7] 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, 41(6):2306-2320.
[8] Hu, J. and Chen, P. Mission Abort Policy Considering Imperfect Alarms and Two Abort Options[J]. Naval Research Logistics, 2025, 72(6):858-867.
[9] 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, 21(6):4639-4648.
[10] 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, 2024, 40(1): 388-405.
[11] Yao F, Hu J, Li B, et al. Non‐periodic inspection and replacement policy of system subject to non‐homogeneous gamma degradation process[J]. Quality and Reliability Engineering International, 2024, 40(3): 1165-1181.
[12] 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.
[13] Jiang L, Li B, Hu J*. Preventive replacement policy of a system considering multiple maintenance actions upon a failure[J]. Quality and Reliability Engineering International, 2023, 39(8): 3252-3265.
[14] 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.
[15] 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, 8(4): 519-530.
[17] 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.
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] Hu J, Shen J, Shen L. Periodic preventive maintenance planning for systems working under a markovian operating condition[J]. Computers & Industrial Engineering, 2020: 106291.
[25] 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.
[26] Shen J, Hu J*, Ye Z. Optimal switching policy for warm standby systems subject to standby failure mode[J]. IISE Transactions, 2020, 52(11): 1262-1274.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] Hu J, Jiang Z. A dynamic maintenance policy for production system with variable operational condition[J]. IFAC-Papers On Line, 2016, 49(12): 1394-1399.
[33] Hu J, Jiang Z. Integrated model of production plan and preventive maintenance based on a game-theoretic framework[C]. Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on. 2015: 1007-1011.
[34] Hu J, Jiang Z. Optimal preventive maintenance for system in time-varying operation condition[C]. Industrial Engineering and Engineering Management (IEEM), 2016 IEEE International Conference on. 2016: 496-500.
[35] Hu J, Jiang Z. Job Scheduling Integrated with Imperfect Preventive Maintenance Considering Time-varying Operating Condition[C]. Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on. 2017: 578-582.
[36] 胥洪,干伟豪,黄加鑫，胡家文*等.面向大型钢结构振动监测的传感器优化布置研究[J].振动与冲击,2026,45(03):69-77.
[37] 张世杰，胡家文*，苗国磊. 基于工况识别与自训练时空图卷积的航空发动机气路故障诊断[J]. 推进技术, 2024, 45(11):252-2
[38] 胥洪，胡家文*，钟罡. 基于滚动时域控制的飞机维修路径恢复策略[J].系统工程与电子技术,2025, 47(1):164-172.
[39] 安友军，陈晓慧，胡家文，等. 基于多阶段-多阈值的设备退化建模与维护决策优化[J]. 系统工程理论与实践, 2024, 44(08):2700-2721.
[40] 胡家文, 蒋祖华, 韩李杰. 工况时变下设备预防维护策略[J]. 上海交通大学学报, 2016, 50(5): 736-741.
[41] 胡家文, 蒋祖华, 侯文瑞, 等. 批量生产模式下考虑设备运行负荷的预防维护策略[J]. 上海交通大学学报，2018, 52(3): 332-339.
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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 |
| 089901低空技术与工程 |
02低空智能航行技术 |
硕士学术学位 |
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