郭劲言

郭劲言 ( 讲师 ) 赞112 的个人主页 https://teachers.jlu.edu.cn/guojingyan/zh_CN/index.htm   讲师 性别 : 女 毕业院校 : 吉林大学 学历 : 博士研究生毕业 学位 : 博士 在职信息 : 在职 所在单位 : 机械与航空航天工程学院 办公地点 : 吉林大学南岭校区逸夫机械材料馆704 个人简介 郭劲言，工学博士，中共党员，科技部“高端数控机床创新联盟”青年专家，"数控装备可靠性教育部重点实验室"、"吉林省高端数控装备先进制造与智能技术重点实验室"、"机械工业数控装备可靠性技术重点实验室"核心成员。作为负责人，先后主持国家自然科学基金青年科学基金项目、国家科技重大专项子课题、重庆市自然基金项目、吉林省教育厅科学研究项目等科研项目，作为骨干参与国家自然科学基金联合基金重点项目、国家自然科学基金面上项目、国家科技重大专项、工信部高质量发展专项等国家级、省部级和企业委托课题10余项。授权发明专利和实用新型专利10余项，在《Reliability Engineering & System Safety》、《Mechanical Systems and Signal Processing》、《Measurement》和《机械工程学报》等国内外著名学术期刊上发表SCI/EI论文20余篇。担任《Reliability Engineering & System Safety》、《Journal of Risk and Reliability》、《International Journal of Advanced Manufacturing Technology》等领域内国际知名期刊审稿专家。 每年招收博士研究生1名，硕士研究生3-5名。个人经历：                       1、2021年10月-至今， 吉林大学2、2016年9月-2021年9月，吉林大学 机械制造及自动化 直博3、2012年9月-2016年7月，吉林大学 机械工程  本科研究方向：[1] 高端数控装备可靠性正向设计、试验技术与装备[2] 高端数控装备智能制造技术[3] 数字孪生驱动的智能制造装备运维决策科研项目：[1] 数控机床主轴轴承润滑脂多应力可靠性加速试验与评估方法研究（国家自然科学基金青年科学基金项目，项目负责人，2024.01-2026.12，30万，在研）[2] 高性能机床XXXX关键技术攻关（科技部7XXXXX专项，子课题负责人，2021.01-2024.12，100万，在研）[3] 数控机床滚珠丝杠副润滑脂加速试验及寿命预测方法研究（重庆市自然基金面上项目，项目负责人，2022.08-2025.07，10万，在研）[4] 数控机床滚珠丝杠副润滑脂加速试验及可靠性评价方法研究（吉林省教育厅科学技术研究项目，项目负责人，2022.01-2024.12，2.5万，在研）[5] 大型精密龙门加工中心可靠性增长理论与加速试验方法研究（国家自然科学基金联合基金重点项目，参与，2023.01-2026.12，210万，在研）[6] 不规则应力载荷区域的加工中心电主轴可靠性加速试验优化设计理论与方法（国家自然科学基金面上项目，参与，2020.1-2023.12，60万，在研）[7] 2022年大中型五轴卧式铣车复合加工中心项目（工信部高质量发展专项，参与，2022.07-2025.06，210万，在研）[8] 面向工业母机的质量与可靠性试验检测评价服务平台（工信部高质量发展专项，参与，2022.09-2025.08，340万，在研）发表科研论文（部分）：[21] Jin, T., Yan, C., Guo, J., Chen, C., Zhu, D. Compilation of drilling load spectrum based on the characteristics of drilling force dg(2023) International Journal of Advanced Manufacturing Technology, 124 (11-12), pp. 4045-4055.[20] Jin, T., Cheng, Q., Chen, H., Wang, S., Guo, J., Chen, C. Fault diagnosis of rotating machines based on EEMD-MPE and GA-BP (2023) International Journal of Advanced Manufacturing Technology, 124 (11-12), pp. 3911-3922. [19] Jin, T., Yan, C., Chen, C., Yang, Z., Tian, H., Guo, J. New domain adaptation method in shallow and deep layers of the CNN for bearing fault diagnosis under different working conditions (2023) International Journal of Advanced Manufacturing Technology, 124 (11-12), pp. 3701-3712. [18] Chen, C., Long, J., Chen, W., Liu, Z., Guo, J. Modeling and prediction of spindle dynamic precision using the Kriging-based response surface method with a novel sampling strategy (2023) Nonlinear Dynamics, 111 (1), pp. 559-579. [17] Chen, C., Li, B., Guo, J., Liu, Z., Qi, B., Hua, C. Bearing life prediction method based on the improved FIDES reliability model (2022) Reliability Engineering and System Safety, 227. [16] Qi, B., Cheng, Q., Liu, Z., Chen, C., Guo, J., Zhao, J. Numerical analysis and experimental research on the accuracy decay of a ball screw with geometric errors under non-constant operating conditions (2022) Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 236 (17), pp. 9773-9787. [15] Long, J., Chen, C., Liu, Z., Guo, J., Chen, W. Stochastic hybrid system approach to task-orientated remaining useful life prediction under time-varying operating conditions (2022) Reliability Engineering and System Safety, 225.[14] Feng, C., Yang, Z., Chen, C., Guo, J., Tian, H., Meng, F. Quantitative evaluation method for machining accuracy retention of CNC machine tools considering degenerate trajectory fluctuation (2022) Journal of Mechanical Science and Technology, 36 (6), pp. 3119-3129. [13] Hu, W., Chen, C.-H., Guo, J.-Y., Liu, Z.-F., Shen, G.-X., Yu, C.-M. An Anomaly detection method for numerical control turrets considering working conditions [考虑工况变化的数控刀架运行状态异常检测方法] (2022) Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 52 (2), pp. 329-337. [12] Song, X., Chen, C., Liu, Z., Duan, J., Guo, J., Wang, H. Research on Reliability Evaluation of NC Turret Considering Wear of End-Toothed Discs (2022) 2022 6th International Conference on System Reliability and Safety, ICSRS 2022, pp. 87-93. [11] Wang, Y., Lin, J., Wang, C., Guo, J., Liu, S., Song, X. Construction of Vehicle Driving Conditions Based on Rain flow Counting Theory (2022) 2022 6th CAA International Conference on Vehicular Control and Intelligence, CVCI 2022.[10] Long, J.Q., Hu, R.H., Chen, C.H., Liu, Z.F., Qi, B.B., Guo, J.Y., Luo, W. Reliability Evaluation Method of Motorized Spindle Based on Dual-source Data (2022) 13th International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS 2022, pp. 260-264. [9] Yang, Z., Guo, J., Tian, H., Chen, C., Zhu, Y., Liu, J. Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information (2021) Chinese Journal of Mechanical Engineering (English Edition), 34 (1).[8] Guo, J., Yang, Z., Chen, C., Luo, W., Hu, W. Real-time prediction of remaining useful life and preventive maintenance strategy based on digital twin (2021) Journal of Computing and Information Science in Engineering, 21 (3).[7] Guo, J., Yang, Z., Chen, C., Tian, H., Luo, W., Yu, L. Optimal Design of Multi-Stress Accelerated Degradation Test within Irregular Test Region (2021) IOP Conference Series: Materials Science and Engineering, 1043 (3).[6] Guo, J., Yang, Z., Chen, C., Su, Z. Optimal design of accelerated degradation test with multiple optimization objectives (2021) Quality Technology and Quantitative Management, 18 (4), pp. 505-525. [5] Guo, J., Yang, Z., Zhou, X., Chen, C., Mei, H., Liu, Y. Optimal design of accelerated degradation test based on the combination forecast method for products with uncertain degradation models (2021) Engineering Optimization, 53 (5), pp. 830-842. [4] Guo, J., Yang, Z., Chen, C., Tian, H. Optimal Design of Constant-Stress Accelerated Degradation Test for Motorized Spindles (2019) 2019 4th International Conference on System Reliability and Safety, ICSRS 2019,  pp. 186-192. [3] Yang, Z., Li, X., Chen, C., Zhao, H., Yang, D., Guo, J., Luo, W. Reliability assessment of the spindle systems with a competing risk model (2019) Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233 (2), pp. 226-234. [2] Tian, H., Yang, Z., Chen, L., Chen, C., Guo, J., Ying, J., Zhao, H. Control of Mutual Dragging Test for Motorized Spindle Based on Improved Direct Torque Control (2018) Proceedings - 12th International Conference on Reliability, Maintainability, and Safety, ICRMS 2018, pp. 270-276. [1] Yang, Z., Zhu, D., Chen, C., Tian, H., Guo, J., Li, S. Reliability Modelling of CNC Machine Tools Based on the Improved Maximum Likelihood Estimation Method (2018) Mathematical Problems in Engineering.发明专利（部分）：[9] 一种面向数字孪生机加车间的全要素智能感知实现方法（专利号：202310033162.4）[8] 一种考虑通信时延的龙门机床大惯量动梁同步误差补偿方法（专利号：202211365839.6）[7] 一种数字化车间计算资源与服务的配置方法（专利号：202211349671.X）[6] 一种龙门机床动梁交叉耦合控制方法（专利号：202210980682.1）[5] 一种测试摆角铣头可靠性的试验装置及试验方法（专利号：202210681694.4）[4] 一种基于NSGA-Ⅱ框架的自适应多目标优化算法（专利号：202111489493.6）[3] 一种电主轴可靠性试验模拟加载装置（专利号：202010117793.0）[2] 基于对拖加载的电主轴可靠性试验台自动对中装置（专利号：201811598609.8）[1] 一种多物理场复合加载的电主轴可靠性试验装置（专利号：201710164434.9）指导学生获奖项（部分）： [3] 2023.05，指导学生（3人）获得吉林大学大学生创新创业训练计划国家级项目1项； [2] 2022.05，指导学生（4人）获得全国三维数字化创新设计大赛吉林省赛区一等奖； [1] 2022.05，指导学生（5人）获得吉林大学大学生创新创业训练计划校级项目1项；联系方式：【电话】18543275670（微信同号）【Email】jyguo@jlu.edu.cn               gjy_jlu@163.com通讯地址：吉林省长春市人民大街5988号，吉林大学南岭校区逸夫机械材料馆704，邮编：130025