王利明

个人信息Personal Information

副教授

硕士生导师

教师英文名称:Liming Wang

教师拼音名称:wangliming

电子邮箱:

入职时间:2018-09-01

所在单位:高端装备机械传动全国重点实验室

学历:博士研究生毕业

办公地点:机械传动国家重点实验室209

性别:男

学位:博士学位

毕业院校:重庆大学

学科:机械设计及理论
机械电子工程

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个人简介Personal Profile

简介:

王利明,工学博士,重庆大学机械与运载工程学院副教授/硕士生导师。聚焦车船动力大功率机械传动系统动力学建模、多维信息融合智能感知及智能监测等学术前沿,瞄准高端装备安全服役性能核心关键技术攻关。主持了国家XXX项目、国家自然科学基金青年基金、国家重点研发计划子课题、中国博士后科学基金等10余项项目。作为主研人员参加了国家自然科学基金重点项目、国家重点研发计划、国家科技重点专项等多项国家基础科研项目。作为骨干研究人员,解决了大功率高动载湿式离合传动系统关键技术,获中国机械工业科学技术发明一等奖,此外与重庆齿轮箱有限责任公司合作的齿轮传动系统振动噪声控制技术,获重庆市科技进步二等奖。近年来在Mechanical Systems and Signal Processing, Tribology International, Swarm and Evolutionary Computation, Nonlinear Dynamics, Measurement, Engineering Failure Analysis, IEEE Transactions on Instrumentation and Measurement等多本高质量刊物上发表SCI论文30余篇,其中多篇入选ESI 1%高被引论文、ESI 1‰热点论文、高影响力论文奖论文等授权国家发明专利10余项,指导学生获得ICFPMCE2021国际会议优秀论文奖、国家奖学金等荣誉。受邀担任2021年《机械工程学报》第48期公开课嘉宾。担任MSSP(Q1)、MMT(Q1)、Measurement(Q1)、EFA(Q1)、《兵工学报》等多本高质量期刊审稿人。主讲《机械设计基础》和《Mechanical Design》课程。


教育经历:

2011.09~2018.07 重庆大学 机械工程 工学博士学位

2015.09~2016.08 美国马里兰大学帕克分校 CALCE中心 联合培养博士

2007.09~2011.07 重庆大学 机械设计制造及其自动化 工学学士学位

工作经历:

2022.09~至 今 重庆大学 机械与运载工程学院 副教授

2021.09~2022.08 重庆大学 机械与运载工程学院 讲师

2018.09~2021.08 重庆大学 师资博士后

代表性科研项目:

1. 国家XXX局:XXX项目,主持,2020.01-2022.12,结题;

2. 国家自然科学基金青年项目:基于生物进化论消噪算法的齿轮传动系统故障特征多尺度提取研究,主持,2020.01-2022.12,结题;

3. 国家重点研发计划子课题:多维融合感知智能轴承样机研制及验证,主持,2020.01-2022.12,结题;

4. 重庆英才计划包干制项目:智能轴承物理信息系统集成优化设计方法研究,主持,2022.01-2024.12,在研;

5. 重庆市自然科学基金面上项目:轮齿随机误差激励下齿轮传动系统早期故障动态建模与解耦提取方法研究,主持,2022.08-2025.07,在研;

6. 重点实验室开放基金:煤矿机器人移动平台的故障诊断技术研究,主持,2022.12-2024.11,在研;

7. 重庆市留创计划:基于边-云协同的城市轨道交通车辆轴承智能监测技术研究,主持,2021.01-2021.12,结题;

8. 中国博士后科学基金会:进化论自适应滤波消噪算法与齿轮箱故障多尺度提取,主持,2019.06-2021.05,结题;

9. 重庆市科委博士后科学基金项目:基于进化论自适应消噪的齿轮箱早期故障振动特征提取方法研究,主持,2019.11-2021.10,结题;

10. 国家自然科学基金重点项目:机械传动系统服役行为动态调控理论与方法研究,参研,2021.01-2025.12,在研;

代表性论文:

  • SCI论文

[26] Bing Wang,Liming Wang*, Bo Zou, et al. A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery [J].Swarm and Evolutionary Computation, 2023, 83: 101407.(中科院一区TOP)

[25] Wenchao Pan, Hai Lan,Liming Wang*, et al. Dynamic modeling for hydraulic disk brake with floating supported friction plate considering nonlinear tooth clearance impact [J].Nonlinear Dynamics, 2023, 111(20): 18911-18930.

[24] Zixian Li, Jiawei Xiao, Xiaoxi Ding,Liming Wang*, et al. A new raw signal fusion method using reweighted VMD for early crack fault diagnosis at spline tooth of clutch friction disc [J].Measurement, 2023, 220: 113414.

[23] Desheng Zou,Liming Wang*, Lantao Yang, et al. Dynamic characteristics of a spur gear pair under the coupled effects of angular misalignment fault and tooth modification [J].International Journal of Non-Linear Mechanics, 2023, 155: 104453.

[22] Lantao Yang,Liming Wang*, Yimin Shao, et al.A double-layer iterative analytical model for mesh stiffness and load distribution of early-stage cracked gear based on the slicing method [J].Mechanical Systems and Signal Processing, 2023, 198: 110456.(中科院一区TOP)

[21] Rui Wang, Chengcheng Kong, ...,Liming Wang*. Measurement of bearing reaction force by distributed strain variation [J].Measurement Science and Technology, 2023, 34(8): 085005.

[20] Kun Yue, Zhong Kang, Mengjie Zhang,Liming Wang*, et al. Study on gear meshing power loss calculation considering the coupling effect of friction and dynamic characteristics [J].Tribology International, 2023, 183: 108378.(中科院一区TOP)

[19] Lantao Yang, Desheng Zou, Xiuquan Sun,Liming Wang, et al. Dynamic modelling and analysis of cracked gear system with tip relief based on proposed variable-angle deformation energy integration method [J].Nonlinear Dynamics, 2023, 111(5): 4141-4172.

[18] Lantao Yang, Qiuyuan Chen, Lei Yin,Liming Wang*, Yimin Shao. Dynamic characteristic of spur gear system with spalling fault considering tooth pitch error [J].Quality and Reliability Engineering International, 2022, 38(6): 2921-2938.

[17]Liming Wang*, Jiafu He, Huifang Xiao, et al. Joint suppression of normal gear mesh component and background noise for early local fault detection based on dynamic evolutionary digital filter [J].Measurement, 2022, 201: 111711.

[16] Lantao Yang, Qiang Zeng, Haishi Yang,Liming Wang*, et al. Dynamic characteristic analysis of spur gear system considering tooth contact state caused by shaft misalignment [J].Nonlinear Dynamics, 2022, 109(3): 1591-1615.

[15] Xiaoqing Yang,Liming Wang*, Kang Ding, Xiaoxi Ding. Vibration AM-FM sidebands mechanism of planetary gearbox with tooth root cracked planet gear [J].Engineering Failure Analysis, 2022, 137: 106353.

[14]Liming Wang, Chunlong Deng, Xu Jin, et al. Effects of spalling fault on dynamic responses of gear system considering three-dimensional line contact elasto-hydrodynamic lubrication [J].Engineering Failure Analysis, 2022, 132: 105930.

[13] Yinjun Wang, Xiaoxi Ding, Qiang Zeng,Liming Wang*, Yimin Shao. Intelligent Rolling Bearing Fault Diagnosis via Vision ConvNet [J].IEEE Sensors Journal, 2021, 21(5): 6600-6609.

[12]Liming Wang*, Jiangli Pan, Yimin Shao, Qiang Zeng, Xiaoxi Ding. Two new kurtosis-based similarity evaluation indicators for grinding chatter diagnosis under non-stationary working conditions [J].Measurement, 2021, 176: 109215.

[11] Lantao Yang,Liming Wang*, Wennian Yu, Yimin Shao. Investigation of tooth crack opening state on time varying meshing stiffness and dynamic response of spur gear pair [J].Engineering Failure Analysis, 2021, 121: 105181.

[10] Lantao Yang,Liming Wang*, Yimin Shao, C Mechefske, Qiuyuan Chen. A new calculation method for tooth fillet foundation stiffness of cracked spur gears [J].Engineering Failure Analysis, 2021, 121: 105173.

[09] Dabin Jie, Guanhui Zheng, Yong Zhang, Xiaoxi Ding,Liming Wang*. Spectral kurtosis based on evolutionary digital filter in the application of rolling element bearing fault diagnosis [J].International Journal of Hydromechatronics, 2021, 4(1): 27-42.

[08]Liming Wang, Yimin Shao*. Fault feature extraction of rotating machinery using a reweighted complete ensemble empirical mode decomposition with adaptive noise and demodulation analysis [J].Mechanical Systems and Signal Processing, 2020, 138: 106545.(ESI 1%高被引论文、ESI 1‰热点论文、中科院一区TOP)

[07] Xinlei Wang, ...,Liming Wang*.Effect of roughness on meshing power loss of planetary gear set considering elasto-hydrodynamic lubrication [J].Advances in Mechanical Engineering, 2020, 12(2).

[06] Jian Tang, Guanhui Zheng, Dong He, Xiaoxi Ding, Wenbin Huang, Yimin Shao,Liming Wang*. Rolling bearing remaining useful life prediction via weight tracking relevance vector machine [J].Measurement Science and Technology, 2020, 32(2): 024006.

[05] Weitao Du, Qiang Zeng, Yimin Shao,Liming Wang*, Xiaoxi Ding. Multi-Scale Demodulation for Fault Diagnosis Based on a Weighted-EMD De-Noising Technique and Time-Frequency Envelope Analysis [J].Applied Sciences, 2020 (Nov), 10(21): 7796.

[04]Liming Wang, Weijun Ye, Yimin Shao*, Huifang Xiao. A new adaptive evolutionary digital filter based on alternately evolutionary rules for fault detection of gear tooth spalling [J].Mechanical Systems and Signal Processing, 2019, 118: 645-657.(中科院一区TOP)

[03]Liming Wang, Yimin Shao*, Zheng Cao. Optimal demodulation subband selection for sun gear crack fault diagnosis in planetary gearbox [J].Measurement, 2018, 125: 554-563.

[02]Liming Wang, Yimin Shao*. Crack Fault Classification for Planetary Gearbox Based on Feature Selection Technique and K-means Clustering Method [J].Chinese Journal of Mechanical Engineering, 2018, 31(1): 4.(机械工程学报第四届高影响力论文奖、2018期刊高被引论文TOP10)

[01]Liming Wang, Yimin Shao*. Fault mode analysis and detection for gear tooth crack during its propagating process based on dynamic simulation method [J].Engineering Failure Analysis, 2017, 71: 166-178.

  • 其他论文

[06] 邹德升,杜伟涛,叶辉,...,王利明. 基于齿廓修形的齿轮轴花键接触特性研究 [J]. 设备管理与维修,2023,05:22-24.

[05] 宋慧新,顾亮,张进秋,...,王利明. 高速履带车辆机电悬架惯量分析与滤振缓冲设计 [J]. 兵工学报,2023,44(2):380-393.

[04] Wenchao Pan, Hai Lan, Zhiyong Han, Lantao Yang,Liming Wang, Yimin Shao. Research on Dynamic Impact Force Calculation for Spline Coupling Teeth and Its Suppression [C].Mechanisms and Machine Science, 卷 117, 页 1093 - 11022023.

[03] Yinjun Wang, Liling Zeng, Xiaoxi Ding,Liming Wang, Yimin Shao. Incremental Learning of Bearing Fault Diagnosis Via Style-Based Generative Adversarial Network [C].International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020 - Proceedings页 512 - 51715 October 2020 论文编号 9261711

[02]Liming Wang, Yimin Shao, Pan Sun, et al. Local fault diagnosis of non-stationary gearbox based on order envelope analysis [J].International Journal of COMADEM, 2017, 20(4): 5-11.

[01]Liming Wang, Yimin Shao, Lei Yin, et al. Fault Diagnosis for Centre Wear Fault of Roll Grinder Based on a Resonance Demodulation Scheme [C].Journal of Physics: Conference Series, 2017, 842(1): 012057.

获奖与荣誉

6. 2023,中国机械工业科学技术发明二等奖(第5完成人);

5. 2021,中国机械工业科学技术发明一等奖(第5完成人)

4.2020,《机械工程学报》第四届高影响力论文奖-优秀论文奖;

3. 2019,重庆市科技进步二等奖(第6完成人);

2. 2019,中国机械工程学会上银优博奖国内机械工程领域博士论文的最高荣誉);

1. 2019,重庆大学优秀博士论文奖;

学术兼职:

Mechanical Systems and Signal Processing、Mechanism and Machine Theory、Engineering Failure Analysis、Measurement、Applied Acoustics、《兵工学报》等审稿人、机械工程学会高级会员

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