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
传真:
程德俊,男,工学博士,副教授。博士阶段主要从事高档数控机床滚动功能部件摩擦学非线性理论及非均匀重叠磨损理论研究,博后及现阶段主要从事智能装备运维理论及应用技术研究工作。近五年主持国家自然基金、省部级、横向课题多项。独立出版英文学术专著1本,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, Measurement, Tribol. Trans,Int. J. Adv. Manuf. Technol.,J. Mech. Sci. Technol.,Int. J. Precis. Eng. Manuf.等国内外同行认可的高水平期刊上发表SCI论文18篇(其中,中科院一区TOP论文8篇)。担任Knowledge-based system,Reliability Engineering and System Safety,Advanced Engineering Informatics,Mechanism and machine theory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。
微信
(1)智能装备协同跨域融合感知与运维决策
(2)AI工艺大模型建模与工艺优化技术
(3)低辨识度环境下目标检测与识别
(4)智能传动与驱动系统振动及摩擦磨损行为预测
(5)装配检测工艺及数字化技术
一区
Kai-Li Zhou, De-Jun Cheng, Han-Bing Zhang, Zhong-tai Hu, Chun-Yan Zhang,
Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost,
Reliability Engineering & System Safety,
2023,
109357,
ISSN 0951-8320,
Han-Bing Zhang, De-Jun Cheng*, Kai-Li Zhou,Sheng-Wen Zhang, Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation, Knowledge-based System, 2023(110391).
Cheng D J , Quan H J , Kim S J , et al. Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling[J]. Arabian Journal fo发布r Science and Engineering:1-22.
De-Jun Cheng, Sheng-Hao Xu, Su-Jin Kim, Sheng-Wen Zhang. Analysis of non-uniform load distribution and stiffness for a preloaded roller linear motion guide[J]. Mechanism and Machine Theory: Dynamics of Machine Systems Gears and Power Trandmissions Robots and Manipulator Systems Computer-Aided Design Methods, 2021, 164(1).
Cheng D J , Zhang J , Hu Z T , et al. A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts[J]. International Journal of Precision Engineering and Manufacturing, 2020, 21(S1).
Cheng D J , Xu F , Xu S H , et al. Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin-Walled Parts[J]. International Journal of Precision Engineering and Manufacturing, 2020, 21(9):1597-1613.
Cheng D J , Xu F , Xu S H , et al. Investigation of the Frictional Behavior in a Roller Linear Motion Guide under Mixed EHL[J]. Tribology Transactions, 2020, 63(3):528-542.
一区
Kai-Li Zhou, De-Jun Cheng, Han-Bing Zhang, Zhong-tai Hu, Chun-Yan Zhang,
Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost,
Reliability Engineering & System Safety,
2023,
109357,
ISSN 0951-8320,
Han-Bing Zhang, De-Jun Cheng*, Kai-Li Zhou,Sheng-Wen Zhang, Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation, Knowledge-based System, 2023(110391).
Cheng D J , Quan H J , Kim S J , et al. Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling[J]. Arabian Journal fo发布r Science and Engineering:1-22.
De-Jun Cheng, Sheng-Hao Xu, Su-Jin Kim, Sheng-Wen Zhang. Analysis of non-uniform load distribution and stiffness for a preloaded roller linear motion guide[J]. Mechanism and Machine Theory: Dynamics of Machine Systems Gears and Power Trandmissions Robots and Manipulator Systems Computer-Aided Design Methods, 2021, 164(1).
Cheng D J , Zhang J , Hu Z T , et al. A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts[J]. International Journal of Precision Engineering and Manufacturing, 2020, 21(S1).
Cheng D J , Xu F , Xu S H , et al. Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin-Walled Parts[J]. International Journal of Precision Engineering and Manufacturing, 2020, 21(9):1597-1613.
Cheng D J , Xu F , Xu S H , et al. Investigation of the Frictional Behavior in a Roller Linear Motion Guide under Mixed EHL[J]. Tribology Transactions, 2020, 63(3):528-542.
一区
Kai-Li Zhou, De-Jun Cheng, Han-Bing Zhang, Zhong-tai Hu, Chun-Yan Zhang,
Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost,
Reliability Engineering & System Safety,
2023,
109357,
ISSN 0951-8320,
Han-Bing Zhang, De-Jun Cheng*, Kai-Li Zhou,Sheng-Wen Zhang, Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation, Knowledge-based System, 2023(110391).
Cheng D J , Quan H J , Kim S J , et al. Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling[J]. Arabian Journal fo发布r Science and Engineering:1-22.
De-Jun Cheng, Sheng-Hao Xu, Su-Jin Kim, Sheng-Wen Zhang. Analysis of non-uniform load distribution and stiffness for a preloaded roller linear motion guide[J]. Mechanism and Machine Theory: Dynamics of Machine Systems Gears and Power Trandmissions Robots and Manipulator Systems Computer-Aided Design Methods, 2021, 164(1).
Cheng D J , Zhang J , Hu Z T , et al. A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts[J]. International Journal of Precision Engineering and Manufacturing, 2020, 21(S1).
Cheng D J , Xu F , Xu S H , et al. Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin-Walled Parts[J]. International Journal of Precision Engineering and Manufacturing, 2020, 21(9):1597-1613.
Cheng D J , Xu F , Xu S H , et al. Investigation of the Frictional Behavior in a Roller Linear Motion Guide under Mixed EHL[J]. Tribology Transactions, 2020, 63(3):528-542.
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