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王硕

副教授

基本信息 / Basic Information

  • 博士生导师 硕士生导师
  • 电子邮箱:
  • 学历: 博士研究生毕业
  • 学位: 博士
  • 学科: 机械工程

期刊论文

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       [32]  Chan Xu, Qiuxia Fan, Qianqian Zhang, Yunqi Tong, Shuo WangTonghai Wu. Vibration-Based Wear Evolution Characterisation of Lubricated Rolling-Sliding Contact[J]. Lubricants, 2025, 13(2): 78.

       [31] Qinghua Wang, Shuo Wang*, Luning Zhang, Yayu Li, Chenyang Jia,Tonghai Wu*. Mechanism-guided wear severity assessment of worn surfaces with multiple damages[J]. Wear, 2025, 571: 205875.(中科院1区,top期刊)
       [30] Tao Shao, Luning Zhang, Shuo Wang*,Qinghua Wang, Linyu Xia, Tonghai Wu*. Structural region-induced inpainting for highlight removal in microscopic damage measurement of metal pairs[J]. Optics and Lasers in Engineering, 2025, 186: 108831.(中科院2区)

       [29] Shuo Wang, Yishi Chang, Hui Wei, Miao Wan, Tonghai Wu*, Ying Du. An integrated mechanism and data model for adaptive wear state diagnosis via moving wear particles[J]. Wear, 2025, 564-565: 205722.(中科院1区,top期刊)

       [28] Shuo Wang, Kezhang Hu, Linyu Xia, Tonghai Wu*, Ning Xu. Prior-shape-guided photometric stereo model for 3D damage measurement of worn surfaces[J]. Tribology International, 2025, 201: 110219.(中科院1区,top期刊)

       [27] Shuo Wang, Yishi Chang, Tonghai Wu*, Zhidong Han, Yaguo Lei. Attribute-driven fuzzy fault tree model for adaptive lubricant failure diagnosis [J]. Journal of Dynamics, Monitoring and Diagnostics, 2024, 3(3): 604.

       [26] Pan Dou, Peiping Yang, Peng Zheng, Yaping Jia, Tonghai Wu, Shuo Wang, Min Yu. Ultrasound enabled simultaneous measurement of coating wear depth and lubricant film thickness in a sliding bearing[J]. Measurement, 2025, 240: 115602.

       [25] Ying Du, Yue Zhang, Tao Shao, Yanchao Zhang, Yahui Cui, Shuo Wang. DSU-LSTM-Based trend prediction method for lubricating oil[J]. Lubricants, 2024, 12(8): 289.

       [24] Shuo Wang, Zhidong Han, Hui Wei, Tonghai Wu*,  Junli Zhou. An integrated knowledge and data model for adaptive diagnosis of lubricant conditions[J]. Tribology International, 2024, 199: 109914.(中科院1区,top期刊)

        [23] Yan Pan, Bin Liang, Houde Liu*,  Tonghai Wu, Shuo Wang. Spatial-temporal modeling of oil condition monitoring: A review[J]. Reliability Engineering and System Safety, 2024, 248: 110182.(中科院1区,top期刊)

        [22] Tao Shao, Luning Zhang, Shuo Wang*, Tonghai Wu*, Qinghua Wang, Changfu Han. Fully unsupervised wear anomaly assessment of aero-bearings enhanced by multi-representation learning of deep features[J]. Tribology International, 2024, 196: 109724. (中科院1区,top期刊)      
        [21] Tao Shao, Peiping Yang, Shuo Wang*,Miao Wan, Tonghai Wu*. Wear depth estimation from single 2-D image based on shape from Shading and convolutional neural network hybrid model for in-situ wear assessment [J]. Wear, 2024, 538-539: 205205.  (中科院1区,top期刊)

        [20]  Shuo Wang, Miao Wan, Tonghai Wu*, Zichen Bai, Kunpeng Wang. Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensor[J]. Friction, 2024, 12(6): 1194–1213. 中科院1区,top期刊

        [19] Qinghua Wang, Shuo Wang*Tonghai Wu*, Tao Shao, Yue Shu, Thompson Sarkodie-Gyan. Lambertian reflection separation under high  reflectiveness for worn surface reconstruction with insufficient samples [J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3520310. 中科院2区

       [18] Tao Shao, Shuo Wang, Qinghua Wang, Tonghai Wu*, Zhifu Huang. Comparison-embedded evidence-CNN model for fuzzy assessment of wear severity using multi-dimensional surface images[J]. Friction, 2024, 12: 1098–1118. 中科院1区,top期刊

       [17]  Shuo Wang, Tao Shao, Tonghai Wu*, Thompson Sarkodie-Gyan,Yaguo Lei. Knowledge-guided convolutional neural network model for similar three-dimensional wear debris identification with small number of samples[J]. Journal of Tribology - Transactions of the ASME, 2023, 145(9): 091105.  (ASME汇刊)

       [16] Qinghua Wang, Shuo Wang, Bo Li, Ke Zhu, Tonghai Wu*. In-situ 3D reconstruction of worn surface topography via optimized

 photometric stereo[J]. Measurement, 2022, 190: 110679.(中科院2区
       [15] Shuo Wang, Tonghai Wu*, Kunpeng Wang. Automated 3D ferrograph image analysis for similar particle identification with the

 knowledge-embedded double-CNN model[J]. Wear, 2021, 476: 203696.(中科院1区,top期刊
       [14] Shuo Wang, Tonghai Wu*, Kunpeng Wang, Zhongxiao Peng, NgaimingKwok, Thompson Sarkodie-Gyan. 3-D particle surface

 reconstruction from multi-view 2-D images with structure from motion and shape from shading[J]. IEEE Transactions on Industrial

 Electronics, 2021, 68(2): 1626-1635.中科院1区,top期刊
       [13] Shuo Wang, Tonghai Wu*, Peng Zheng, NgaimingKwok. Optimized CNN model for identifying similar 3D wear particles in few

 samples[J]. Wear, 2020, 460-461: 203477.中科院1区,top期刊
       [12] Shuo Wang, Tonghai Wu*, KunPeng Wang, Thompson Sarkodie-Gyan. Ferrograph Analysis With Improved Particle Segmentation

 and Classification Methods[J]. Journal of Computing and Information Science in Engineering, 2020, 20(2): 021001.(ASME汇刊)
       [11] Shuo Wang, Tonghai Wu*, Tao Shao, Zhongxiao Peng. Integrated model of BP neural network and CNN algorithm for automatic wear

 debris classification[J]. Wear, 2019, 426-427: 1761-1770.中科院1区,top期刊
       [10] Shuo Wang, Tonghai Wu*, Lingfeng Yang, Ngaiming Kwok,Thompson Sarkodie-Gyan. Three-dimensional reconstruction of wear

 particle surface based on photometric stereo[J]. Measurement, 2019, 133: 350-360.中科院2区
         [9] Shuo Wang, Tonghai Wu*, Jun Chen, Yu Han, Ting Yao. The generation mechanism and morphological characterization of cutting

 debris based on the finite element method[J]. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering

 Tribology, 2019, 233(1): 205-213. 
         [8] Tonghai Wu*, Yeping Peng, Shuo Wang, Feng Chen, Ngaiming Kwok, Zhongxiao Peng. Morphological feature extraction based on

 multiview images for wear debris analysis in on-line fluid monitoring[J]. Tribology Transactions, 2017, 60(3) : 408-418. 
         [7] Yeping Peng, Tonghai Wu*, Shuo Wang, Ying Du, Ngaiming Kwok, Zhongxiao Peng. A microfluidic device for three-dimensional wear

 debris imaging in on-Line condition monitoring[J]. Proceedings of iMeche, Part J: Journal of Engineering Tribology, 2017, 231(8): 965-974. 
         [6] Yeping Peng, Tonghai Wu*, Shuo Wang, Zhongxiao Peng. Wear state identification using dynamic features of wear debris for on- line 
purpose[J]. Wear, 2017, 376: 1885-1891.中科院1区,top期刊
         [5] Shuo Wang, Tonghai Wu*, Hongkun Wu, Ngaiming Kwok. Modeling wear state evolution using real time wear debris features[J]. 
Tribology Transactions, 2017, 60(6): 1022-1032. 
         [4] 程俊, 王硕, 武通海*, 陈峰. 基于拓展有限元的齿轮点蚀磨粒形态学特征模拟[J]. 机械工程学报, 2016, 15(52): 99-105. 
         [3] Tonghai Wu*, Ying Du, Yang Li, Shuo Wang, Zhinan Zhang. Synthesized multi-station tribo-test system for bio-tribological evaluation 
in vitro[J]. Chinese Journal of Mechanical Engineering, 2016, 29(04): 853-861. 
         [2] Yeping Peng, Tonghai Wu*, Shuo Wang, Zhongxiao Peng. Oxidation wear monitoring based on the color extraction of on-line wear 
debris[J]. Wear, 2015, 332-333: 1151-1157.中科院1区,top期刊
         [1] Yeping Peng, Tonghai Wu*, Shuo Wang, Ngai-ming Kwok, Zhongxiao Peng. Motion-Blurred Particle Image Restoration for On-line
Wear Monitoring[J]. Sensors, 2015, 15(4): 8173-8191.