余文念，男，博士，重庆大学高端装备机械传动全国重点实验室教授、博士生导师。主要从事齿轮传动系统动力学、信号处理和状态监测、数据与机理融合驱动的系统退化建模与剩余寿命预测等研究。主持国家自然科学基金、科技部重点研发计划子课题、工信部重大专项等纵向科研项目10余项。在动力学与信号处理行业顶级期刊发表科研论文100余篇（一作/通讯60余篇），h因子31，ESI高被引论文2篇，国际学术会议最佳论文 4 篇，参与出版《高速行星齿轮传动动力学》专著1部，授权国家发明专利20余件（第一发明人12件），登记软件著作权9件，连续入选斯坦福大学2022、2023、2024年全球前2%科学家 (Stardford University Top 2% Scientists List 2022, 2023, 2024)。参与荣获国防科技进步一等奖、全国设备管理与技术创新成果特等奖、Mechanism and Machine Theory克罗斯利最佳论文奖，Machines主编精选文章等荣誉。

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

2019.9-2025.8  重庆大学 “百人计划”研究员

2025.9-至今  重庆大学 教授

获奖与兼职

2024年国防科学技术进步一等奖（9/15）、2025年全国设备管理与技术创新成果特等奖（2/10）

斯坦福大学2022, 2023, 2024年度全球前2%科学家 (Stardford University Top 2% Scientists List 2022,2023, 2024)

Machines期刊客座编辑（Guested Editor）、SN Applied Science期刊编委、《机械传动》青年编委、《组合机床与自动加工技术》编委

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、第6届和第7届IEEE国际传感、诊断与控制会议（SDPC2022, 2024）最佳论文奖、第1届国际设备智能运维大会（ICEIOM2023）最佳论文奖

Mechanism and Machine Theory克罗斯利最佳论文奖，Machines主编精选文章等荣誉、Mechanism and Machine Theory，Smart Materials and Structures，英国物理学会(IOP)等期刊或学会优秀审稿人

毕业生去向

中国商飞、人本轴承、中车株洲电机、理想汽车、零跑汽车，塞力斯、宁德时代、华东交通大学、合肥大学等

代表性科研项目

孪生模型与原位反演信息协同驱动的城轨列车牵引齿轮疲劳损伤在线监测研究，国家自然科学基金面上基金项目，2022.01-2024.12，项目负责人

基于异构信息深度融合的齿轮疲劳寿命在线预测方法研究，国家自然科学基金青年基金项目，2025.01-2028.12，项目负责人

大功率核电齿轮箱故障诊断与健康监测技术，国家重点研发计划子课题，2020.10-2023.09，项目负责人

基于孪生大数据与知识驱动的故障诊断与预警技术，国家重点研发计划子课题，2022.11-2025.10，项目负责人

齿轮疲劳损伤失效精细化建模和疲劳寿命预测方法研究，中国博士后科学基金面上项目，2022.01-2023.12，项目负责人

基于递归网络自编码器和随机过程模型的齿轮传动系统健康状态评估方法研究，留学人员回国创业创新支持计划 ，2022.01-2023.12，项目负责人

智能轴承内部激励机理和动态信息演变规律研究，重庆英才计划“包干制”项目，2021.04-2023.12，项目负责人

代表性发明专利

[12] 考虑随机动载下齿轮疲劳裂纹扩展寿命计算方法及系统，2026-06-26，ZL202310671838.2

[11] 基于自适应图拓扑感知的小样本跨域故障诊断方法及系统，2026-06-23， ZL202410082880.5

[10] 包含多非固接回转体的行星排动不平衡力确定方法、评估方法及系统，2026-03-31，ZL202310630035.2

[9] 滚动轴承多维参数自动化检测线和滚动轴承等级评价方法，2026-03-06，ZL202310667164.9

[8] 数据极端不平衡下滑动轴承故障诊断方法及系统，2025-07-15，ZL202411390889.9

[7] 联合多尺度交互图卷积和对比池化的故障诊断方法及系统，2026-01-06，ZL202211606855.X

[6] 考虑剥落、裂纹故障的偏航轴承振动响应获取方法及系统，2025-10-14，ZL202510048202.1

[5] 一种组合轴承故障诊断方法和系统，2023-06-07，ZL202310667173.8

[4] 基于三点超声法的滚动轴承外圈接触刚度标定方法及系统，2025-04-1，ZL202211164599.3

[3] 一种考虑自偏心的浮动齿圈摩擦片组件冲击力计算方法，2024-5-28，ZL202210857758.1

[2] 滑动轴承油膜厚度分布的测量方法及系统，2023-05-16，ZL202210538265.1

[1] 旋转机械变工况故障诊断方法及系统，2023-04-07，ZL202210215200.3

代表性学术交流和报告

[16] 数字孪生驱动的城轨车辆受电弓滑板磨损预测方法研究, 2025先进制造技术与电子信息国际学术会议（AMTEI2025）, 主旨报告，2025-09-26.

[15] 大功率船用齿轮传动系统振动抑制关键技术及应用，中国设备管理协会，第7届全国设备管理与技术创新成果交流大会，邀请报告，江苏南京，2025-07-22

[14] 数字孪生驱动的城轨车辆受电弓滑板磨损预测方法研究，第九届数字孪生与智能制造服务学术会议，分论坛口头报告，四川成都，2025-06-28.

[13] 面向智能运维的低空装备齿轮箱的数字孪生体构建，中国机械工业企业管理协会传动行业管理分会，2025 机械工业传动行业融通创新论坛，邀请报告，辽宁大连，2025-06-26.

[12] 数字孪生驱动的城轨车辆受电弓滑板磨损预测方法研究，中国振动工程学会动态信号分析专业委员会，2025年中国振动工程学会动态信分析学术会议，主旨报告，江西南昌，2025-05-10.

[11] 多级多档行星变速机构动力学建模及实验研究, 2024先进制造技术与电子信息国际学术会议（AMTEI2024）, 主旨报告，重庆，2024-09-20.

[10] A digital twin-driven wear prediction method of carbon strip for urban rail vehicle pantograph，数字孪生国际专家委员会，DigiTwin2024，分论坛口头报告，意大利米兰，2024-10-15.

[9] 考虑瓦块磨损的可倾瓦组合轴承-转子系统动态特性研究，中国振动工程学会，2024年全国设备监测诊断与维护学术会议，分论坛口头报告，云南大理，2024-08-24.

[8] 高端装备智能运维数字孪生体精准建模技术，成都市航空航天学会，涡创沙龙论坛，邀请报告，四川成都，2024-05-27.

[7] Comparison Studies of Dynamic Characteristics for Coupled Bearing-Rotor System with Fixed and Pivot-Supported Pads, 香港城市大学, 应用非线性动力学、振动与控制国际会议(ICANDVC 2023)，分论坛口头报告，中国香港，2023-12-05.

[6] The dynamic analyasis and embeded test method of the multi-shift and multi-stage planetary gear systemSimilarity-based remaining useful life estimation method using Longest Common Subsequence Based on Adaptive Control Parameters, 中国机械工程学会, 第20届国际制造大会（IMCC 2023），分论坛主题报告，重庆，2023-11-26.

[5] Similarity-based remaining useful life estimation method using Longest Common Subsequence Based on Adaptive Control Parameters, 中国机械工程学会设备智能运维分会, 第一届（国际）设备智能运维大会(ICEIOM 2023)，分论坛口头报告，安徽合肥，2023-09-23.

[4] Degradation modeling of turbofan engines using a RNN autoencoder scheme and nonlinear-drift-driven Wiener process model, 中国机械工程学会设备智能运维分会, 第一届（国际）设备智能运维大会(ICEIOM 2023)，分论坛口头报告，安徽合肥，2023-09-23.

[3] Degradation modeling and reliability analysis of turbofan engines using a bidirectional recurrent neural network based autoencoder scheme and nonlinear-drift-driven Wiener process model，The Research Catalyst, 航空航天研究会议（AeroResCon 2023），分论坛主题报告，意大利罗马，2023-03-27.

[2] Cutting tool wear estimation using a genetic algorithm based long short-term memory neural network, 美国机械工程师学会，国际设计工程技术会议暨工程计算机与信息会议（2018 ASME IDETC/CIE），分论坛口头报告，加拿大魁北克，2018-08-28.

[1] A comparison of several sdof models of gear dynamics, 美国机械工程师学会，国际设计工程技术会议暨工程计算机与信息会议（2016 ASME IDETC/CIE），分论坛口头报告，美国夏洛特，2016-08-23.

代表性期刊论文（*通讯作者）

[A15] Wennian Yu*, Yongbo Yu, Feifan Shi, Chaodong Zhang, and Wenbing Tu. Fatigue Crack Propagation Analysis Considering the Dynamic Crack-Load Coupling Effect. Scientific Reports, 2025, 15: 37111.

[A14] 余文念, 旦佳国, 陈恺*, 刘月秋, 吴晶, 魏志成, 陈晓慧. 基于组合代理模型的城轨车辆牵引齿轮传动系统振动优化研究.机械传动, 2026, 50(3):143-152.

[A13] Wennian Yu*, Yimin Shao, Jin Xu, and Chris Mechefske, An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation, Reliability Engineering and System Safety, 2022, 217: 108099.

[A12] Wennian Yu*, Wenbing Tu, Il Yong Kim, and Chris K. Mechefske, A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability, Reliability Engineering and System Safety, 2021, 212: 107631.

[A11] Wennian Yu*, Il Yong Kim, and Chris K. Mechefske, Analysis of different RNN autoencoder variants for time series classification and machine prognostics, Mechanical Systems and Signal Processing, 2021, 149: 107322.

[A10] Wennian Yu*, Il Yong Kim, and Chris K. Mechefske, An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme, Reliability Engineering & System Safety, 2020, 199: 106926.

[A9] Wennian Yu*, Il Yong Kim, and Chris K. Mechefske, Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme, Mechanical Systems and Signal Processing, 2019, 129: 764-780.

[A8] Wennian Yu*, and Chris 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, 2019, 43: 503-515.

[A7] Wennian Yu*, Chris K. Mechefske, and Markus Timusk, A new dynamic model of a cylindrical gear pair with localized spalling defects, Nonlinear Dynamics, 2018, 91: 2077-2095.

[A6] Wennian Yu*, Chris K. Mechefske, and Markus Timusk, Effects of tooth plastic inclination deformation due to spatial cracks on the dynamic features of a gear system, Nonlinear Dynamics, 2017, 87: 2643-2659.

[A5] Wennian Yu*, Chris K. Mechefske, and Markus Timusk, The dynamic coupling behaviour of a cylindrical geared rotor system subjected to gear eccentricities, Mechanism and Machine Theory, 2017, 107: 105-122.

[A4] Wennian Yu*, Chris K. Mechefske, and Markus Timusk, Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics, Journal of Sound and Vibration, 2017, 389: 183-201.

[A3] Wennian Yu*, and Chris K. Mechefske, Analytical modeling of spur gear corner contact effects, Mechanism and Machine Theory, 2016, 96: 146-164.

[A2] Wennian Yu*, Yimin Shao, and Chris K. Mechefske, The effects of spur gear tooth spatial crack propagation on gear mesh stiffness, Engineering Failure Analysis, 2015, 54: 103–119.

[A1] Wennian Yu*, Chris K. Mechefske, and Il Yong Kim, Identifying optimal features for cutting tool condition monitoring using recurrent neural networks, Advances in Mechanical Engineering, 2024, 12(12): 1687814020984388.

——

[B45] Nan Li, Hebin Ren, Xiaohu Yang, Lanqi Zhang, Shuping Che, Zhixiang He, Yuhan Wang, Wennian Yu*, Thermal-Fluid Modeling and Kriging Surrogate-Assisted Lightweight Simulation of a Piston Engine for Large Unmanned Aerial Vehicles, Applied Sciences, 16 (2026) 7012.

[B44] Jiayao Hu, Wennian Yu*, Kai Chen, Li Yu, Xiaoxi Ding, Wenbin Huang, MIEI-DPMIAN : fault diagnosis for urban rail transit gearboxes based on torsional vibration signal image enhancement and attention network, Expert Systems with Applications, 327 (2026) 132869.

[B43] Jiayao Hu, Wennian Yu*, Zixu Chen, Quanyi Luo, Qiang Zeng, Xiaoxi Ding, A novel rotating machinery fault diagnosis method based on multi-channel correlation strategy image information enhancement, Engineering Applications of Artificial Intelligence, 169 (2026) 114102.

[B42] Wenbing Tu, Yuankuo Lou,Chenlu Liu, Wennian Yu*, Thermodynamic real-time coupling modeling and thermal characteristic analysis of angular contact ball bearings under combined loads, Acta Mechanica Sinica, 42 (2026) 524765.

[B41] Wenbing Tu, Guanya Zhao, Dengliang Hu, Chaodong Zhang, Zhaoping Tang, Wennian Yu*, Vibration Characteristics of the Gear – Rotor-Bearing Transmission System Under External Impacts, Machines 14 (2026) 1–22.

[B40]余诗乐, 余文念*, 罗权毅, 陈恺, 旦佳国, 刘月秋, 邹俊杰.数字孪生驱动的城轨车辆受电弓滑板磨损预测方法. 力学学报, 2026, 1-20.

[B39] Chaodong Zhang, Zixian Li, Jin Xu, Wanhao Zhang, Wennian Yu*, Wenbing Tu, Liming Wang*, and Wenbin Huang. Dynamic Impact Modeling and Analysis of the Floating-Supported Friction Plate and Inner Hub System Considering Tooth Root Cracks. Science China Technological Sciences, 2026, 69(2):1220801.

[B38] Quanyi Luo, Wennian Yu*, Chunyu Fan, Hongxing Chu, Qiang Zeng, and Liming Wang. A Comprehensive Instantaneous Power Loss Calculation Method of Planetary Gear System Considering Tooth Surface Microtopography. Journal of Tribology, 2026, 148(2):024601.

[B37] Zhiliang Xu, Wennian Yu*, and Huachao Xu. Dynamic Modeling of Planetary Gears Considering the Dynamic Mesh States and Addendum Modification. Forschung Im Ingenieurwesen/Engineering Research, 2025, 89(1):81.

[B36] Wenbing Tu, Yibin Huang, Guiyuan Zhang, and Wennian Yu*. Characterization of the Skidding Dynamics of Rolling Bearings Considering Cage Flexibility. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-Body Dynamics, 2025, 14644193251377208.

[B35] Jiayao Hu, Wennian Yu*, Quanyi Luo, Liming Wang, Xiaoxi Ding, and Wenbin Tu. A Dual-View Information Complementary Fault Diagnosis Method for Combined Bearings in Gearboxes of Nuclear Power Circulation Pumps. Measurement Science and Technology, 2025, 36(12):126106.

[B34] Zixu Chen, Jinchen Ji, Qing Ni, Benyuan Ye, Xiaoxi Ding, and Wennian Yu*, Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery, Mechanical Systems and Signal Processing, 2025, 227: 112378.

[B33] 陈子旭, 余文念*, 杜伟涛，林正宇, 基于拓扑感知和双视图分类器的旋转机械故障诊断方法, 振动与冲击, 2025, 44(1): 151-162.

[B32] Qiang Zeng, Yuanhao Liu, Weitao Du, Lianbao Jiang, and Wennian Yu*, Dynamic characteristic analysis of a gear-rotor-bearing coupling system considering bearing fit, Nonlinear Dynamics, 2025, 113: 2131-2154.

[B31] Wenbing Tu, Chenlu Liu, Hao Wang, Dengliang Hu, and Wennian Yu*, Influences of external moment on the contact characteristics of angular contact ball bearings under combined loads, International Journal of Non-Linear Mechanics, 2024, 161: 104698.

[B30] Wenbing Tu, Hao Wang, Chenlu Liu, Dengliang Hu, and Wennian Yu*, Influence of temperature on dynamic contact characteristics of oil-jet lubricated rolling bearings, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 2024, 239(2): 167-181.

[B29] 章朝栋, 余文念*, 张路, 考虑瓦块磨损的可倾瓦径向轴承-转子系统动态特性研究, 振动与冲击, 2024, 43(11): 255-263.

[B28] Chaodong Zhang, Wennian Yu*, and Lu Zhang, Dynamic characteristics of tilting-pad coupled-bearing-rotor systems considering mixed lubrication and pad wear, Tribology International, 2024, 192: 109287.

[B27] Zixu Chen, Jinchen Ji, Wennian Yu*, Qing Ni, Guoliang Lu, and Xiaojun Chang, A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox, Measurement, 2024, 230: 114497.

[B26] Zixu Chen, J. C. Ji, Kai Chen, Qing Ni, Xiaoxi Ding, and Wennian Yu*, Adaptive Topology-Aware Siamese Network for Cross-domain Fault Diagnosis with Small Samples, IEEE Sensors Journal, 2024, 24(15): 24438-24451.

[B25] Zhiliang Xu, Wennian Yu*, Huachao Xu, and Jinjin Li, Dynamic modeling of spur gear system considering the coupling effect between bearing deflection and gear mesh stiffness, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2024, 238(13): 6725-6737.

[B24] Chaodong Zhang, Wennian Yu*, Yudong Zhang, Jin Xu, Qiang Zeng, Liang Li, Liming Wang, and Wenbin Huang, Dynamics modeling and analysis of the multistage planetary gear set-bearing-rotor-clutch coupling system considering the tooth impacts of clutches, Mechanical Systems and Signal Processing, 2024, 214: 111365.

[B23] Chaodong Zhang, Wennian Yu*, Jing Wu, Liming Wang, Xiaoxi Ding, Wenbin Huang, and Xiaohui Chen, Dynamic analysis of gear pairs considering the actual contact state of truncated asperities on the 3D rough surfaces and force-dependent mesh stiffness, Nonlinear Dynamics, 2024, 112(16): 13971-13993.

[B22] Wenbing Tu, Jie Liang, Wennian Yu*, Zhifeng Shi, and Chenlu Liu, Motion stability analysis of cage of rolling bearing under the variable-speed condition, Nonlinear Dynamics, 2023, 111(12): 11045-11063.

[B21] Wenbing Tu, Hao Wang, Guiyuan Zhang, and Wennian Yu*, The influence of race waviness on skidding characteristics of rolling bearings, International Journal of Non-Linear Mechanics, 2023,156: 104520.

[B20] Xiaodong Yang, Chaodong Zhang, Wennian Yu*, Wenbin Huang, Zhiliang Xu, and Chunhui Nie, A refined dynamic model for the planetary gear set considering the time-varying nonlinear support stiffness of ball bearing, Machines, 2023, 11(2): 206.

[B19] Wenbing Tu, Benmeng Yang, Wennian Yu*, and Ya Luo, A dynamic model of defective bearing considering the detailed motion of the roller and the impact between the roller and the cage, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 2023, 237(3): 494-510.

[B18] Zixu Chen, Wennian Yu*, Liming Wang, Xiaoxi Ding, Wenbin Huang, and Yimin Shao, A dual-view style mixing network for unsupervised cross-domain fault diagnosis with imbalanced data, Knowledge-Based Systems, 2023, 278: 110918.

[B17] Zixu Chen, Wennian Yu*, Chengcheng Kong, Qiang Zeng, Liming Wang, and Yimin Shao, A dual-view network for fault diagnosis in rotating machinery using unbalanced data, Measurement Science and Technology, 2023, 34(11): 115107.

[B16] Chengcheng Kong, Wennian Yu*, Qiang Zeng, Zixu Chen, and Yizhen Peng, A similarity-based remaining useful life prediction method using multimodal degradation features and adjusted cosine similarity, Measurement Science and Technology, 2023, 34(10): 105112.

[B15] Xiaoqing Yang, Kang Ding, Guolin He*, Canyi Du, and Wennian Yu*, Improved vibration AM-FM sideband phenomenon models of planetary gear set with distributed faults and fault-induced speed fluctuation, Mechanism and Machine Theory, 2023, 179: 105093.

[B14] Chaodong Zhang, Wennian Yu*, Lei Yin, Qiang Zeng, Zixu Chen, and Yimin Shao, Modeling of normal contact stiffness for surface with machining textures and analysis of its influencing factors, International Journal of Solids and Structures, 2023, 262: 112042.

[B13] Chaodong Zhang, Wennian Yu*, Chunyu Fan, Chengcheng Kong, Jin Xu, and Yimin Shao, Theoretical and experimental investigation on teeth impacts between the inner hub and the friction plate of the planetary transmission system's clutch, Journal of Sound and Vibration, 2023, 553: 117674.

[B12] Wenbing Tu, Jinwen Yang, Ya Luo, Lianbao Jiang, Jin Xu, and Wennian Yu*, Vibration transmission characteristics and measuring points analysis of bearing housing system, Shock and Vibration, 2022, 2022(1): 4334398.

[B11] Ya Luo, Wenbing Tu, Chunyu Fan, Lu Zhang, Yudong Zhang, and Wennian Yu*, A study on the modeling method of cage slip and its effects on the vibration response of rolling-element bearing, Energies, 2022, 15(7): 2396.

[B10] Zixu Chen, Wennian Yu*, Xiaoxi Ding, Yimin Shao, and Chris K. Mechefske, Pair-wise orthogonal classifier based domain adaptation network for fault diagnosis in rotating machinery, IEEE Sensors Journal, 2022, 22(12): 12086-12097.

[B9] Xiaodong Yang, Wennian Yu*, Yimin Shao, Zhiliang Xu, Qiang Zeng, Chunhui Nie, and Dingqiang Peng, An Augmented Lever Analogy Method for Kinematic Analysis of Dual-Input Planetary/Epicyclic Gear Sets Involving Planet Gear, IEEE Access, 2022, 10: 101137-101148.

[B8] Zhiliang Xu, Wennian Yu*, Yimin Shao, Xiaodong Yang, Chunhui Nie, and Dingqiang Peng, Dynamic modeling of the planetary gear set considering the effects of positioning errors on the mesh position and the corner contact, Nonlinear Dynamics, 2022, 109(3): 1551-1569.

[B7] Wenbing Tu, Wennian Yu*, Yimin Shao, and Yinquan Yu, A nonlinear dynamic vibration model of cylindrical roller bearing considering skidding, Nonlinear Dynamics, 2021, 103: 2299-2313.

[B6] Wenbing Tu, Jinwen Yang, Wennian Yu*, and Ya Luo, 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, 235(1): 19-36.

[B5] Zhiliang Xu, Wennian Yu*, and Shao Yimin, A refined analytical model for the mesh stiffness calculation of plastic gear pairs, Applied Mathematical Modelling, 2021, 98: 71-89.

[B4] Houman Hanachi, Wennian Yu*, Il Yong Kim, Jie Liu, and Chris K. Mechefske, Hybrid data-driven physics-based model fusion framework for tool wear prediction, The International Journal of Advanced Manufacturing Technology, 2019, 101: 2861-2872.

[B3] Wenjun Luo, Junnan Jiang, Wennian Yu*, and Chris Mechefske, Train Internal Noise Due to Wheel-Rail Interaction, Journal of Testing and Evaluation, 2019, 47(3): 20170635.

[B2] Wenjun Lu, Changjie Xu, and Wennian Yu*. Cost Savings Resulting from Optimum Material Selection, Journal of Performance of Constructed Facilities, 2019, 33(2): 04019019.

[B1] Wenjun Luo, Long Cheng, Lihong Tong, Wennian Yu*, and Chris Mechefske, Prediction and analysis of structural noise from a U-beam using the FE-SEA hybrid method, Promet - Traffic&Transportation, 2018, 30(3): 333–342.

代表性会议论文

[C7] W. Yu,  C. Zhang, L. Zhang  (2023, December). Comparison Studies of Dynamic Characteristics for Coupled Bearing-Rotor Systems with Fixed and Pivot-Supported Pads. In The International Conference on Applied Nonlinear Dynamics, Vibration and Control (pp. 733-748). Singapore: Springer Nature Singapore.

[C6] W. Yu, Z. Chen. (2019).Degradation modeling of turbofan engines using a RNN autoencoder scheme and nonlinear-drift-driven Wiener process model, in 2023 International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023); The 5th International conference on Reliability Systems engineering (ICRSE 2023), 21-23 Sep. 2023, Hefei, China. (会议最佳论文)

[C5] 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)

[C4] 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.

[C3] 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.

[C2] 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.

[C1] 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.

[D3] Z.Chen, W.Yu, Q. Ni, J. Ji, Learnable topology enhanced heterogeneous network for unbalanced cross-domain fault diagnosis,  in: 2024 IEEE Int. Conf. Sensing, Diagnostics (SDPC 2024), Progn. Control, Shijiazhuang,China, 2024.(会议最佳论文)

[D2] Z. Chen, W. Yu, X. Ding, Y. Shao, Silhouette Coefficient Regularization Based Adversarial Domain Adaptation Network for Fault Diagnosis of Rotating Machinery, in: 2022 IEEE Int. Conf. Sensing, Diagnostics (SDPC 2022), Progn. Control, Chongqing,China, 2022: pp. 29–35.(会议最佳论文)

[D1]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.