基本信息

 

王晨希,副教授，硕导（学硕+专硕）

2011.09—2015.07   西安交通大学（211/985/双一流）    机械工程及自动化，工学学士，保研

2015.09—2020.09   西安交通大学（211/985/双一流）    机械工程，硕博连读，导师：陈雪峰/张兴武 教授

2020.10—2024.03   西安交通大学机械学院  助理教授

2024.03至今    西安交通大学机械学院  副教授

 

2022年陕西省科协青年人才托举计划
2022年第11届上银优博论文佳作奖

发表SCI论文30余篇，国家发明专利8项，出版学术专著1部

 

欢迎机械、力学、能动等相关专业学生报考

联系方式

单位：西安交通大学  机械学院  航天制造与信息工程研究所
地址：创新港高端装备研究院2号巨构，2-5171办公室
邮箱：wangchenxi@xjtu.edu.cn

 

站点计数器

研究领域

主持青年基金、博后特助、陕西省青托等科研项目8项，参与重大项目3项

 

研究方向：

一、以方法分类：

（1）智能控制：强化学习、自适应控制

（2）智能诊断：迁移学习、PINN、大数据驱动的健康状态监测

 

二、以对象分类：

（1）火箭发动机：状态监测和故障诊断——迁移学习、PINN（合作单位：航天六院11所）

（2）在轨航天器：空间威胁识别和轨迹预测——视觉检测（合作单位：航天五院502所，航天五院钱学森实验室）

（3）卫星编队：动力学建模与轨道姿态控制——自适应控制、强化学习（合作单位：航天五院钱学森实验室）

（4）卫星天线：在轨组装和在轨制造、太空3D打印——动力学分析、视觉检测（合作单位：航天五院504所）

（5）新一代XX直升机：系统辨识和振动主动控制——强化学习、自适应控制（合作单位：中航发608所，广州航新）

（6）航天增材制造：工艺参数优化、过程质量监测、智能反馈控制——视觉检测、迁移学习、强化学习、自适应控制（三院31所）

 

  1. 谭鲲鹏, 唐甲锋, 赵志斌, 等. 基于视觉大模型的激光粉末床熔融铺粉缺陷检测[J]. Chinese Journal of Lasers, 2024, 51(10): 1002319-1002319-10.
  2. Wang C, Zhang Y, Zhao Z, et al. Dynamic model-assisted transferable network for liquid rocket engine fault diagnosis using limited fault samples[J]. Reliability Engineering & System Safety, 2024, 243: 109837.
  3. Zhang X, Liu B, Ma R, Wan H, Wang C*, et al. The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train[J]. Structural Health Monitoring, 2024: 14759217231220220.
  4. Zhao Z, Liu W, Ren J, Wang C*, et al. Uncertainty-driven trustworthy defect detection for high-resolution powder bed images in selective laser melting[J]. Journal of Manufacturing Systems, 2024, 72: 59-73.
  5. Zhang X, Ma R, Zhao Y, Wang C*, et al. Differentiable sampling based efficient architecture search for automatic fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107214.
  6. 赵志斌, 王晨希, 张兴武等. 激光粉末床熔融增材制造过程智能监控研究进展与挑战[J]. 机械工程学报, 2023, 59(19): 253-276.
  7. Wang C, Zhang Y, Hu J. Adaptive milling chatter identification based on sparse dictionary considering noise estimation and critical bandwidth analysis[J]. Journal of Manufacturing Processes, 2023, 106: 328-337.
  8. Zhang Q, Wang J, Liu J, Li B, Wang C, et al. Instantaneous multi-frequency tracker for nonstationary vibration signal in mechanical system[J]. Mechanical Systems and Signal Processing, 2023, 203: 110695.
  9. Zhang X, Zhao Y, Yu X, Ma R, Wang C*, et al. Weighted domain separation based open set fault diagnosis[J]. Reliability Engineering & System Safety, 2023, 239: 109518.
  10. 韩冰、王晨希、翟智、刘乃金. 用于地球静止轨道目标的光学检测算法[J]. 空间碎片研究, 2023, 23(1): 1-10
  11. Chen T, Zhang X, Wang C, et al. Domain adversarial neural network-based nonlinear system identification for helicopter transmission system[J]. Nonlinear Dynamics, 2023: 1-17.
  12. Wang C, Liu Q, Zhang X. Receptance coupling substructure analysis based FRF modeling for multi-segment shell with nonlinear joint interface[J]. Journal of Vibration and Control, 2023: 10775463231187020.
  13. Xu J, Wang C, Feng P, et al. Meso-scale cracks initiation of Nomex honeycomb composites in orthogonal cutting with a straight blade cutter[J]. Composites Science and Technology, 2023, 233: 109914.
  14. Pan X, Zhou L, Wang C, et al. Microstructure and residual stress modulation of 7075 aluminum alloy for improving fatigue performance by laser shock peening[J]. International Journal of Machine Tools and Manufacture, 2023, 184: 103979.
  15. Yang D, Yang Z, Wang C, et al. Micromechanical Modeling of Cyclic Elasto-viscoplastic Behavior of Unidirectional Metal Matrix Composites under Elevated Temperature[J]. Mechanics of Advanced Materials and Structures, 2021.
  16. Wang C, Zhang X, Zhai Z, et al. Parametric prediction model and periodic fluctuation interpretation of unidirectional CFRP edge milling force[J]. Composite Structures, 2022, 287: 115387.
  17. Liu J, Zhang X, Wang C, et al. Active Vibration Control Technology in China[J]. IEEE Instrumentation & Measurement Magazine, 2022, 25(2): 36-44.
  18. Wang C, Zhang X, Chen X. Real time FFT identification based time-varying chatter frequency mitigation in thin-wall workpiece milling[J]. The International Journal of Advanced Manufacturing Technology, 2022: 1-11.
  19. He Y, Zhang X, Zhang T, Wang C, et al. A Hydrodynamic/Acoustic Splitting Method with Fluid-Structure Feedback for Flow-induced Noise[C], AIAA SCITECH 2022 Forum. 2022: 0414.
  20. He Y, Zhang X, Zhang T, Wang C, et al. A wavelet immersed boundary method for two-variable coupled fluid-structure interactions[J]. Applied Mathematics and Computation, 2021, 405: 126243.
  21. 张兴武，刘金鑫，王晨希，严如强. 智能主轴高速铣削颤振抑制[M]. 科学出版社, 2022（专著）
  22. Yang D, Yang Z, Wang C, et al. Micromechanical modeling of cyclic elasto-viscoplastic behavior of unidirectional metal matrix composites under elevated temperature[J]. Mechanics of Advanced Materials and Structures, 2022, 29(22): 3285-3300.
  23. Yang D, Sun Y, Yang Z, Wang C, et al. Multiscale modeling of unidirectional composites with interfacial debonding using molecular dynamics and micromechanics[J]. Composites Part B: Engineering, 2021, 219: 108893.
  24. Xu J, Deng Y, Wang C, et al. Numerical model of unidirectional CFRP in machining: Development of an amended friction model[J]. Composite Structures, 2021,256:113075.
  25. Wang C, Zhang X, Chen X, et al. Weak chatter detection in milling based on sparse dictionary[C]. Procedia Manufacturing, 2020, 48: 839-843.
  26. Wang C, Qiao B, Zhang X, et al. TPA and RCSA based frequency response function modelling for cutting forces compensation[J]. Journal of Sound and Vibration, 2019, 456: 272-288.
  27. Wang C, Zhang X, Liu J, et al. Adaptive vibration reshaping based milling chatter suppression[J]. International Journal of Machine Tools and Manufacture, 2019, 141: 30-35.
  28. Wang C, Zhang X, Chen X, et al. Time-Varying Chatter Frequency Characteristics in Thin-Walled Workpiece Milling With B-Spline Wavelet on Interval Finite Element Method[J]. ASME-Journal of Manufacturing Science and Engineering, 2019, 141(5): 051008.
  29. Wang C, Zhang X, Qiao B, et al. Dynamic Force Identification in Peripheral Milling Based on CGLS Using Filtered Acceleration Signals and Averaged Transfer Functions[J]. ASME-Journal of Manufacturing Science and Engineering, 2019, 141(6): 064501.
  30. Zhang X, Wang C, Liu J, et al. Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators[J]. Mechanical Systems and Signal Processing, 2019, 120: 808-835.
  31. Wang C, Zhang X, Liu J, et al. Multi harmonic and random stiffness excitation for milling chatter suppression[J]. Mechanical Systems and Signal Processing, 2019, 120: 777-792.
  32. Wang C, Zhang X, Yan R, et al. Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization[J]. Precision Engineering, 2019, 55: 268-274.
  33. Geng J, Zhang X, Chen X, Wang C, et al. Mid-frequency dynamic characteristics prediction of thin plate based on B-spline wavelet on interval finite element method[J]. Applied Mathematical Modelling, 2018, 62: 526-541.
  34. Geng J, Zhang X, Wang C, et al. Predicting dynamic response of stiffened-plate composite structures in a wide-frequency domain based on Composite B-spline Wavelet Elements Method (CBWEM)[J]. International Journal of Mechanical Sciences, 2018, 144: 708-722. 
  35. Wang C, Zhang X, Cao H, et al. Milling stability prediction and adaptive chatter suppression considering helix angle and bending[J]. The International Journal of Advanced Manufacturing Technology, 2018, 95(9-12): 3665-3677.
  36. Wang C, Zhang X, Qiao B, et al. Milling force identification from acceleration signals using regularization method based on TSVD in peripheral milling[C]. Procedia CIRP, 2018, 77: 18-21.
  37. Wang C, Zhang X, Liu Y, et al. Stiffness variation method for milling chatter suppression via piezoelectric stack actuators[J]. International Journal of Machine Tools and Manufacture, 2018, 124: 53-66.
  38. Qiao B, Zhang X, Wang C, et al. Sparse regularization for force identification using dictionaries[J]. Journal of Sound and Vibration, 2016, 368: 71-86.
  39. Zhang X, Wang C, Gao R, et al. A novel hybrid error criterion-based active control method for on-line milling vibration suppression with piezoelectric actuators and sensors[J]. Sensors, 2016