余文念

姓名:余文念 

出生年月:1988年12月

学历学位:博士研究生/博士

专业技术职务:特聘研究员

电子邮箱:wennian.yu@cqu.edu.cn

办公地址:重庆大学a区机械大楼(第7教学楼)421室

ResearchGate主页:https://www.researchgate.net/profile/Wennian_Yu2

Publons主页:https://publons.com/researcher/1272039/wennian-yu/ 

                  

       


个人简历

余文念,男,博士,重庆大学机械工程学院特聘研究员、博士生导师。2006至2010年武汉理工大学机械工程及其自动化专业学习,获工学学士学位;2010至2013年重庆大学机械电子专业学习,获工学硕士学位;2013至2017年加拿大女王大学(Queen's University)机械与材料工程学院公派攻博,获哲学博士学位;2017-2019年在女王大学机械与材料工程学院从事博士后科研工作;2019年获聘重庆大学“百人计划”特聘研究员,9月至重庆大学机械工程学院从事教学科研工作。主要从事齿轮系统动力学、机械系统状态信号处理和状态监测、大数据与人工智能、基于数据驱动模型和深度学习技术的系统残余寿命的预测等研究。在 Mechanical Systems and Signal Processing》、《Journal of Sound and Vibration》、《Mechanism and Machine Theory》、《Nonlinear Dynamics》、《Engineering Failure Analysis》、《International Journal of Advanced Manufacturing Technology》等著名期刊和会议上发表论文近30篇,其中SCI和EI检索20余篇,总引用达100余次。担任20余种国际期刊常任审稿人,并荣获知名期刊《Mechanism and Machine Theory》杰出审稿人称号。

主要研究方向

齿轮系统动力学

人工智能与深度学习技术

机械系统信号处理和故障诊断

基于数据驱动模型的系统残余寿命的预测



毕业研究生去向


主要研究经历、荣誉称号、获奖情况、社会兼职等

教育与科研经历

2006.9-2010.6 武汉理工大学机械工程及自动化系 工学学士

2010.9-2013.6 重庆大学机械电子系 工学硕士

2013.9-2017.7 加拿大女王大学机械与材料系 哲学博士

2017.8-2019.7 加拿大女王大学机械与材料系 博士后

2019.9-至今  重庆大学 “百人计划”特聘研究员


获奖与兼职

2019年故障诊断与系统健康管理国际会议(PHM2019)技术委员会成员

美国机械工程师协会(ASME)会员

第18届澳大利亚国际航空会议(AIAC 2018)暨第11届澳大利亚国防科技部主办的健康和使用监测系统国际会议(HUMS 2019)暨第27届航天飞机动力学国际研讨会(ISSFD) 最佳会议论文奖

重庆大学2019年"百人计划"特聘研究员

担任二十余种国际知名期刊的常任审稿人,并荣获《Mechanism and Machine Theory》杰出审稿人。


科研项目

非平稳状态机械振动的特性和控制  加拿大自然科学与工程委员会科研基金(NSERC-EG)  项目主要负责人

基于数据驱动和物理分析模型的机床车刀状态监测 加拿大自然科学与工程委员会合作研究与发展基金项目(NSERC-CRDPJ) 项目负责人(Principle Investigator)

基于传感器信号融合技术的设备状态监测  加拿大安大略省卓越中心-创新与生产力基金(OCE-VIPII) 项目负责人(Principle Investigator)


专利

邵毅敏,余文念等,“轧机振痕振动信号的故障特征提取方法及识别方法”, 专利号:CN103115668 A. 授权日期:2016.08.17.

邵毅敏,梁杰,余文念,“基于智能轴承的汽车后桥寿命预测系统”,专利号:CN102564759 B. 授权日期:2014.10.29.

公开发表论文

期刊论文(*通讯作者)

[1] W. Yu*, Y. Shao, and C. K. Mechefske, “The effects of spur gear tooth spatial crack propagation on gear mesh stiffness,” Eng. Fail. Anal., vol. 54, pp. 103–119, 2015. 

[2] W. Yu* and C. K. Mechefske, “Analytical modeling of spur gear corner contact effects,” Mech. Mach. Theory, vol. 96, pp. 146–164, 2016.

[3] W. Yu*, C. K. Mechefske, and M. Timusk, “Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics,” J. Sound Vib., vol. 389, pp. 183–201, 2017.

[4] W. Yu*, C. K. Mechefske, and M. Timusk, “Effects of tooth plastic inclination deformation due to spatial cracks on the dynamic features of a gear system,” Nonlinear Dyn., vol. 87, no. 4, pp. 2643–2659, 2017.

[5] W. Yu*, C. K. Mechefske, and M. Timusk, “The dynamic coupling behaviour of a cylindrical geared rotor system subjected to gear eccentricities,” Mech. Mach. Theory, vol. 107, pp. 105-122, Jan. 2017.

[6] W. Yu*, C. K. Mechefske, and M. Timusk, “A new dynamic model of a cylindrical gear pair with localized spalling defects,” Nonlinear Dyn., pp. 1-19, Dec. 2017.

[7] W. Yu*, and C. K. Mechefske, “A new model for the single mesh stiffness calculation of helical gears using the slicing principle,” Iran J Sci Technol Trans Mech Eng, 43, S503–S515, 2019.

[8] W. Yu*, I.Y. Kim, and C.K. Mechefske, “Remaining Useful Life Estimation Using a Bidirectional Recurrent Neural Network Based Autoencoder Scheme,” Mechanical Systems and Signal Processing, 129, 764–780, 2019.

[9] W. Luo, L. Cheng, W. Yu*, C. K. Mechefske, L. Tong, “Prediction and analysis of structural noise from a U-beam using the FE-SEA hybrid method,” Promet – Traffic &Transportation, 30(3): 333-342, 2018.

[10] H. Hanachi, W. Yu*, I.Y. Kim, C.K. Mechefske, and J. Liu, “Data-model fusion framework for tool wear prediction,” International Journal of Advanced Manufacturing Technology, 2018.

[11] W. Luo, J. Jiang, W. Yu*, C. K. Mechefske, “Train Internal Noise due to Wheel-Rail Interaction,” Journal of Testing and Evaluation, 2019, 47(3):20170635.

[12] W. Luo, C. Xu, W. Yu*, “Cost savings resulting from optimum material selection,” ASCE’s Journal of Performance of Constructed Facilities, 2019, 33(2): 04019019.

[13] R. He, W. Yu, Z. Chen, Y. Shao*, Y. Yuan, “Study on the chatter vibration of a steel plate mill based on second order cyclic autocorrelation demodulation,” International Journal of Design Engineering, vol. 4, no. 4, pp. 351 – 363, 2011.

[14] Y. Shao, D. Su*, A. Al-Habaibeh, and W. Yu, “A new fault diagnosis algorithm for helical gears rotating at low speed using an optical encoder,” Meas. J. Int. Meas. Confed., vol. 93, pp. 449–459, 2016.

[15] Z. Cao, Y. Shao*, M. Rao, and W. Yu, “Effects of the gear eccentricities on the dynamic performance of a planetary gear set,” Nonlinear Dyn., vol. 91, no. 1, pp. 1–15, 2018.

[16] Y. Sun, H. Xiao*, J. Xu, W. Yu, “Study on the normal contact stiffness of the fractal rough surface in mixed lubrication,” Part J: Journal of Engineering Tribology, 2018.

[17] J. Liu*, Z. Xu, L. Zhou, W. Yu, Y. Shao, “A statistical feature investigation of the spalling propagation assessment for a ball bearing,” Mech. Mach. Theory. 131 (2019) 336–350.

[18] Tu, W*., Luo, Y., and Yu, W. (2019). Dynamic interactions between the rolling element and the cage in rolling bearing under rotational speed fluctuation conditions. Journal of Tribology.

[19] Tu, W.*, Luo, Y., Yu, W., & Yu, Y. (2019). Investigation of the dynamic local skidding behaviour of rollers in cylindrical roller bearings. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-Body Dynamics, 0(0), 1–11. 

[20] Liu, J.*, Wang, L., Ma, J., & Yu, W. (2019). A multi-body dynamic study of vibration of a planetary gear train with the planetary bearing fault. 0(174), 1–19. 

[21] Liu, J.*, Wang, L., Shi, Z., Yu, W., & Xiao, H. (2019). A comparison investigation of the contact models for contact and vibration features of cylindrical roller bearings. Engineering Computations (Swansea, Wales). 


会议论文

[1] W. Yu, C. K. Mechefske, and II Yong Kim. (2019). Time Series Reconstruction Using a Bidirectional Recurrent Neural Network based Encoder-Decoder Scheme. In AIAC - 18th Australian International Aerospace Congress (AIAC2018); HUMS - 11th Defence Science and Technology (DST) International Conference on Health and Usage Monitoring (HUMS 2019); ISSFD - 27th International Symposium on Space Flight Dynamics (ISSFD) (pp. 876–884). Melbourne: Melbourne: Engineers Australia, Royal Aeronautical Society. (会议最佳论文)

[2] W. Yu, C. K. Mechefske, and II Yong Kim, “Cutting Tool Wear Estimation Using a Genetic Algorithm based Long Short-term Memory Neural Network”, in Proceedings of the ASME 2018 International Design Engineering Technical Conference and Computers and Information in Engineering Conference (IDETC/CIE 2018), 26-29 Aug. 2018, Quebec City, Canada.

[3] W. Yu, C. K. Mechefske, and M. Timusk, “A Comparison of Several Methods for the Calculation of Gear Mesh Stiffness,” in Proceedings of the 2017 Int. Conf. Sensing, Diagnostics, Progn. Control (SDPC), 16-18 Aug. 2017, Shanghai, China.

[4] W. Yu, C. K. Mechefske, and M. Timusk, “A comparison of several SDOF models of gear dynamics,” in Proceedings of the ASME 2016 International Design Engineering Technical Conference and Computers and Information in Engineering Conference (IDETC/CIE 2016), 21-24 Aug. 2016, Charlotte, USA.

[5] W. Yu, C. K. Mechefske, and M. Timusk, “The dynamic coupling behaviour of a cylindrical gear pair subjected to eccentricities,” in Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), 27–30 Oct. 2016, Chongqing, China.

[6] Y. Shao, W. Yu, Q. Chen, H. Xiao, and X. Yu, “Failure Analysis of a High Pressure Descaling Pump Using Envelope Analysis,” in Proceedings of the ASME 2011 International Design Engineering Technical Conference and Computers and Information in Engineering Conference (IDETC/CIE 2011), 28-31 Aug. 2011, Washington DC, USA.

[7] H. Hanachi, W. Yu, Y. Kim, C. K. Mechefske, “Hybrid Physics-based and Data-driven PHM”, in the Annual Conference of Canadian Machinery Vibration Association (CMVA 2017), Oct. 2017, Edmonton, Canada.