余文念

个人信息Personal Information

博士生导师

硕士生导师

教师英文名称:Wennian Yu

教师拼音名称:yuwennian

所在单位:机械与运载工程学院

办公地点:重庆大学机械与运载工程学院421室

性别:男

联系方式:wennian.yu@cqu.edu.cn

毕业院校:Queen's University

其他联系方式Other Contact Information

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个人简介Personal Profile

      余文念,男,博士,重庆大学机械工程学院“百人计划”研究员、博士生导师。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、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》、《Reliability Engineering and System Safety》《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SCI检索论文40余篇。担任40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。


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”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"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

国家自然科学基金青年基金项目 主要负责人

国家重点研发计划子课题 主要负责人

中国博士后科学基金面上项目 主要负责人

留学人员回国创业创新支持计划 主要负责人

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(Principle Investigator)

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) 项目主要负责人(Principle Investigator)

加拿大安大略省卓越中心-创新与生产力基金(OCE-VIPII) 项目主要负责人(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,余文念等,“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.


期刊论文(*通讯作者)

W. Yu*, Y. Shao, J. Xu, C. Mechefske, An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation. Reliability Engineering and System Safety 217, 108099 (2022). (中科院二区Top)

W. Yu*, W. Tu, I.Y. Kim, C. Mechefske, A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability, Reliability Engineering and System Safety (2021) 107631. (中科院二区Top)

W. Yu*, I.Y. Kim, C. Mechefske,Analysis of different RNN autoencoder variants for time series classification and machine prognostics, Mechanical Systems and Signal Processing. 149 (2021) 107322. (中科院二区Top)

W. Yu*, C. Mechefske, I.Y. Kim, Identifying optimal features for cutting tool condition monitoring using recurrent neural networks, Advances in Mechanical Engineering 12 (2020) 1–14.

W. Yu*, I.Y. Kim, C. Mechefske, An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme, Reliability Engineering and System Safety,199 (2020) 106926.  (中科院二区Top)

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.  (中科院二区Top)

W. Yu*, and C. K. Mechefske, A new model for the single mesh stiffness calculation of helical gears using the slicing principle, Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 43, S503–S515, 2019.

W. Yu*, C.K. Mechefske, M. Timusk, A new dynamic model of a cylindrical gear pair with localized spalling defects, Nonlinear Dynamics. 91 (2018) 2077–2095. 

W. Yu*, C. K. Mechefske, and M. Timusk, Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics, Journal of Sound and Vibration, vol. 389, pp. 183–201, 2017. (中科院二区Top)

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 Dynamics, vol. 87, no. 4, pp. 2643–2659, 2017.

W. Yu*, C. K. Mechefske, and M. Timusk, The dynamic coupling behaviour of a cylindrical geared rotor system subjected to gear eccentricities, Mechanism and Machine Theory, vol. 107, pp. 105-122, Jan. 2017. (中科院一区Top)

W. Yu* and C. K. Mechefske, Analytical modeling of spur gear corner contact effects, Mechanism and Machine Theory, vol. 96, pp. 146–164, 2016. (中科院一区Top)

W. Yu*, Y. Shao, and C. K. Mechefske, The effects of spur gear tooth spatial crack propagation on gear mesh stiffness, Engineering Failure Analysis, vol. 54, pp. 103–119, 2015. 

Y. Luo, W. Tu, C. Fan, L. Zhang, Y. Zhang, W. Yu*, A Study on the Modeling Method of Cage Slip and Its Effects on the Vibration Response of Rolling-Element Bearing, Energies. 15 (2022) 2396.

W. Tu, J. Yang, Y. Luo, L. Jiang, J. Xu, W. Yu*, Vibration Transmission Characteristics and Measuring Points Analysis of Bearing Housing System, Shock and Vibration. 2022 (2022).

Z. Xu, W. Yu*, Y. Shao, A refined analytical model for the mesh stiffness calculation of plastic gear pairs, Applied Mathematical Modelling. 98 (2021) 71–89.  (中科院一区Top)

W. Tu, W. Yu*, Y. Shao, Y. Yu, A nonlinear dynamic vibration model of cylindrical roller bearing considering skidding, Nonlinear Dynamics. 103 (2021) 2299–2313. 

W. Tu, J. Yang, W. Yu*, Contact characteristic and vibration mechanism of rolling element bearing in the process of fault evolution, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics. (2021) 146441932098570.

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.

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.

H. Hanachi, W. Yu*, I.Y. Kim, J. Liu, C.K. Mechefske, Hybrid data-driven physics-based model fusion framework for tool wear prediction, International Journal of Advanced Manufacturing Technology, 101 (2019) 2861–2872.

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.


会议论文

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)

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.

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.

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.

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.

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.


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