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程德俊 副教授

机械工程学院

通讯地址:

个人邮箱:chengdejun0126@just.edu.cn

邮政编码:

办公地点:6号楼548室

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  • 个人简介

  • 研究方向

  • 科研团队

  • 科研项目

  • 获奖动态

  • 教学随笔

  • 教育经历

  • 课程教学

  • 论文著作

  • 科研论文

  • 科研横向项目

  • 科研纵向项目

  • 科研专利

  • 科研动物专利

  • 程德俊,男,工学博士,副教授(电话:18361605785,微信同号)。主要从事智能装备运维理论及应用技术研究工作。近五年主持国家级项目2项、省部级项目1项、横向课题多项(团队目前已在故障预测与诊断、工艺优化、装配过程质量控制等领域为HUAWEI、卡奥斯、万腾、孚睿特等科技公司提供技术服务)。撰写《智能装备协同感知与运维决策》科技类书籍1部;在Knowledge-based system,Reliability Engineering and System Safety,Mechanism and Machine Theory, Advanced Engneering Informatics, Computers in Industry, Expert Systems with Applications,Mechancial Systems and Signal Processing国内外同行认可的高水平期刊上发表SCI论文21篇(其中,中科院一区TOP论文9篇)。担任Knowledge-based system,Reliability Engineering and System Safety,Advanced Engineering Informatics,Mechanism and machine theory,Mechancial Systems and Signal Processing,IEEE-Transactions on Industrical Informatics等权威期刊的审稿人.

    *每年招收2-3名研究生,依据项目进展及工作量,每月给予充足的经费补贴。

    *不强制要求学生作息时间,但必须按时完成导师布置的任务。

    *不抢占论文一作名额,依据贡献度合理分配论文作者排序。


    已发表的期刊论文

    2026年度

    [1]Zhang X Y, Cheng D J, Sun Z Y,et al.Augmented data-driven dynamic predictive maintenance strategy for multi-state system with RUL-maintenance level trade-off[J].Mechanical Systems and Signal Processing, 2026, 242(c):113676.DOI:10.1016/j.ymssp.2025.113676.(一区TOP)

    [2]Qi T W, Sheng H X, Cheng D J,et al.Comprehensive coupled wear-vibration analysis of roller linear guide considering multi-stage and multi-state actual contact variation[J].Precision Engineering, 2026, 98.DOI:10.1016/j.precisioneng.2026.272-291.(中科院)

    2025年度

    [1]Li Z J, Cheng D J, Li X Y,et al.A novel dual networks-guided self-assessment framework for bearings fault mode diagnosis considering early fault feature diversity[J].Expert Systems With Applications, 2025, 268.DOI:10.1016/j.eswa.2024.126347.(中科院一区TOP)

    [2]Wang S, Cheng D J, Fang X F,et al.SDA-PVTDet: A spatial-cross dual attention pyramid vision transformer detector for casting defect detection in radiography images[J].Expert Systems with Applications, 2025, 269(000).DOI:10.1016/j.eswa.2025.126385.(中科院一区TOP)

    2024年度

    [1]Cheng D J, Wang S, Zhang H B,et al.A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer[J].Computers in Industry, 2024, 162.DOI:10.1016/j.compind.2024.104138.(中科院一区TOP)

    [2]Li X Y, Cheng D J, Fang X F,et al.A novel data augmentation strategy for aeroengine multitask prognosis based on degradation behavior extrapolation and diversity-usability trade-off[J].Reliability Engineering and System Safety, 2024, 249.DOI:10.1016/j.ress.2024.110238.(中科院一区TOP)

    [3]Li Z J, Cheng D J, Zhang H B,et al.Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data[J].Advanced Engineering Informatics, 2024, 60(000).DOI:10.1016/j.aei.2024.102413.(中科院一区TOP)

    2023年度

    [1]Zhou K L, Cheng D J, Zhang H B,et al.Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cos

    [J].Reliability Engineering and System Safety, 2023, 237.DOI:10.1016/j.ress.2023, 109357.(中科院一区TOP)

    [2]Zhang H B, Cheng D J, Zhou K L,et al.Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation[J].Knowledge-based systems, 2023.DOI:10.1016/j.knosys.2023.110391.(中科院一区TOP)

    2022年度

    [1]S.-H. X, D.-J. C, S.-W. Z.Analysis of friction fluctuations mechanism of a preloaded roller linear motion guide based on a new 5-DOF dynamic stiffnessmodel[J].Measurement,2022(190-):190.DOI:10.1016/j.measurement.2022.110768.(中科院二区)

    2021年度

    [1]Cheng D J, Xu S H, Zhang S W.Analysis of non-uniform load distribution and stiffness for a preloaded roller linear motion guide[J].Mechanism and Machine Theory, 2021, 164(1).DOI:10.1016/j.mechmachtheory.2021.104407.(中科院一区TOP)


    期刊等级查询链接

    【LetPub】最新SCI期刊影响因子查询及投稿分析系统(2025-2026年) - LetPub



  • (1)智能装备协同跨域融合感知与运维决策

    (2)智能装配数字化检测及控制

    (3)AI工艺智能分析与优化

    (4)智能传动与驱动控制系统





  • 研究生课程:

    智能运维与健康管理

    Modern CNC Manufacturing Technology


    本科生课程:

    数控加工技术

    智能运维与健康管理

    Advanced Manufacturing Technology

    Computer Numerical Control