代表性学术论文（一作/通讯作者）：

[1] Wang Jinhai*, Fan Mengmeng, Yang Jianwei, et al. Fusing Vision-dynamics Identification Method for the Wheel-Rail Maximum Adhesion Coefficient of Railway Vehicle under Variable Rail Surface Condition [J]. IEEE Sensor Journal, 2026, in press.

[2] Zhang Zhiqiang, Wang Jinhai*, Yang Jianwei, et al. A Real-Time Wheel-Rail Force Identification Method via Axlebox Acceleration-based Res-FBLM Model [J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 2547212.

[3] Ye Yanchen, Wang Jinhai*, Yang Jianwei, et al. Supervised Contrastive Learning Enhanced Deep Residual Shrinkage Network for Dual Uncertainty-Aware Bearing RUL Prediction [J]. IEEE Sensor Journal, 2025, 25(19): 36254-36266.

[4] Wen Xiaorui, Wang Jinhai*, Wang Yuzhu, et al. Research on the impact of traction characteristics on the dynamics of urban rail trains in environments with abrupt changes in adhesion coefficient [J]. Engineering Research Express, 2025, 7: 035522.

[5] Wu Yuedong, Wang Jinhai*, Yang Jianwei, et al. Theoretical analysis of profile shift effects and design parameter interactions on herringbone gear mesh stiffness [J]. ‌Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2025, 239(16): 6710-6721.

[6] Zhang Zeteng, Wang Jinhai*, Yang Jianwei, et al. A Real-Time Polygonal Wheel-Rail Force Identification Method Based on Convolutional Neural Networks (CNN) [J]. Urban Rail Transit, 2025, 11: 178-194. 

[7] Huang Ji, Wang Jinhai*, Yang Jianwei, et al. Oscillation search robust dynamic mode decomposition method and its application in rolling bearing fault diagnosis [J]. Measurement Science and Technology, 2025, 36: 016138. 

[8] Wang Ruoyi, Wang Jinhai*, Yang Jianwei, et al. An investigation into the effects of profile shifts on helical gear mesh stiffness [J]. Mechanics Based Design of Structures and Machines, 2025, 53(1): 499-518.

[9] Yang Tianlan, Sun Jianmin, Liu Zhe, Wang Jinhai*. Research on Suspension Systems Control for Heavy Duty Transport Vehicles under Extreme Operating Conditions Considering Handling Stability [J]. Transportation Research Record: Journal of the Transportation Research Board, 2025, 2679(6): 313-327.

[10] 方浩, 王金海*, 杨建伟, 等. 基于LuGre模型的城市轨道交通列车盘形制动系统摩擦振动稳定性研究 [J]. 城市轨道交通研究, 2025, 28(4): 15-20.

[11] Ye Yanchen, Wang Jinhai*, Yang Jianwei, et al. Adaptive MAGNN-TCN: An Innovative Approach for Bearings Remaining Useful Life Prediction [J]. IEEE Sensors Journal, 2024, 25(4): 7467-7481. 

[12] Wang Xuan, Wang Jinhai*, Yang Jianwei, et al. Dynamic characteristics of electromechanical coupling of body-suspended drive system for high-speed trains under wheel polygonal wear [J]. Transactions of The Canadian Society for Mechanical Engineering, 2024, 48(4): 659-670.

[13] 吴怡, 王金海*, 杨建伟, 等. 基于自适应分数阶循环平稳盲反卷积的滚动轴承故障诊断方法[J]. 北京交通大学学报, 2024, 48(5): 162-170.

[14] 张泽腾, 王金海*, 杨建伟, 等. 轨道交通复合线路轮轨力实时识别网络研究 [J]. 城市轨道交通研究, 2024, 27(8): 45-49+56.

[15] Wang Jinhai*, Yang Jianwei*, Lin Yunlei, et al. Analytical investigation of profileshifts on the mesh stiffness and dynamic characteristics of spur gears[J]. Mechanism and Machine Theory, 2022, 167:104529. 

[16] Wang Jinhai, Yang Jianwei*, Wang Yuzhu, et al. Ensemble decision approach with dislocated time-frequency representation and pre-trained CNN for fault diagnosis of railway vehicle gearboxes under variable conditions[J]. International Journal of Rail Transportation, 2022, 10(5): 655-673.

[17] Wang Jinhai, Yang Jianwei*, Bai Yongliang, et al. A comparative study of the vibration characteristics of railway vehicle axlebox bearings with inner/outer race faults [J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2021, 235(8): 1035-1047.

[18] Wang Jinhai, Yang Jianwei*, Zhao Yue, et al. Nonsmooth Dynamics of a Gear-Wheelset System of Railway Vehicles Under Traction/Braking Conditions [J]. ASME Journal of Computational and Nonlinear Dynamics, 2020, 15(8): 081003.

[19] Wang Jinhai, Yang Jianwei*, Li Qiang, et al. Remaining Useful Life Prediction for Degradation Process of Gear System with Contact Damage Model [J]. International Journal of Performability Engineering, 2019, 15(1): 241-251.

[20] Wang Jinhai, Yang Jianwei*, Li Qiang. Quasi-static analysis of the nonlinear behavior of a railway vehicle gear system considering time-varying and stochastic excitation [J]. Nonlinear Dynamics, 2018, 93: 463-485.

[21] 王金海, 杨建伟*, 李强, 等. 城轨列车齿轮系统变速载工况扭振特性 [J]. 机械工程学报, 2018, 54(12): 8-16.

[22] 王金海, 周庆辉, 李波, 等. 基于混合遗传算法的汽车动力总成悬置系统多目标优化 [J]. 机械设计, 2014, 31(8):65-69.

 

授权发明专利：

[1] 王金海, 杨建伟, 胡忠硕, 姚德臣, 许贵阳, 李欣, 白堂博. 一种轨道车辆走行部旋转部件时频特征精细化提取方法, 国家发明专利.

[2] 王金海, 杨建伟, 朱爱华, 许贵阳, 姚德臣, 王小慧, 孙培文. 一种融合数据的轨道交通轮轨磨耗预测方法及模型, 国家发明专利.

[3] 姚德臣, 杨建伟, 李冠毅, 王金海, 胡忠硕. 基于半监督学习的滚动轴承故障诊断方法, 国家发明专利.

[4] 姚德臣, 杨建伟, 王思维, 王金海, 魏明辉. 基于多窗口谱图的变速工况下钢轨波磨检测方法, 国家发明专利.

[5] 王金海, 林云蕾, 杨建伟, 姚德臣, 赵悦, 胡忠硕, 张泽腾. 基于概率化深度神经网络模型的机电设备性能预测方法, 国家发明专利.

[6] 姚德臣, 杨建伟, 常猛, 王金海, 胡忠硕. 一种轴承故障诊断方法及系统, 国家发明专利.

[7] 王金海, 杨建伟, 姚德臣, 李欣, 赵悦, 胡忠硕, 张泽腾. 一种惯性负载可调的轨道车辆牵引传动系统试验平台及方法, 国家发明专利.

[8] 王金海, 杨建伟, 姚德臣, 王衍学, 邬娜, 张莉, 胡忠硕. 一种基于内嵌损伤演化机理的齿轮故障预测方法, 国家发明专利.

[9] 姚德臣, 杨建伟, 孙强, 刘恒畅, 李博阳, 王金海, 白文飞, 谢浩. 一种地铁消毒机器人及其控制系统、控制方法, 国家发明专利.

[10] 杨建伟, 姚德臣, 李欣, 王金海, 祝贺锴, 刘传, 吕中和. 一种基于地铁屏蔽门模拟平台的站台级控制试验方法, 国家发明专利.

[11] 姚德臣, 杨建伟, 庞志芬, 李欣, 王金海, 刘传, 祝赫锴, 吕中和. 一种基于地铁屏蔽门模拟平台的系统级控制试验方法, 国家发明专利.

[12] 姚德臣, 杨建伟, 李欣, 王金海, 白永亮, 武慧杰, 胡年炜. 一种仓储系统的智能控制装置, 国家发明专利.

[13] 杨建伟, 姚德臣, 李欣, 王金海, 刘传, 孙冉. 一种仓储系统的智能控制方法, 国家发明专利.

[14] 杨建伟, 姚德臣, 李欣, 王金海, 吕中和, 聂春萌. 一种智能仓储系统, 国家发明专利.