论文及专利

 
           
  • 学术论文

 

 

2020年论文

[78] Ying Du, Chaoqun Duan*, Tonghai Wu. Replacement scheme for lubricating oil based on Bayesian control chart[J]. IEEE Transactions on Instrumentation & Measurement, 2020.

[77] 朱可, 霍彦文, 武通海*, 陈志雄. 基于光度立体视觉三维重构算法的微观磨损形貌原位测量原理及方法. 机械工程学报. 2020. 

[76] Chan Xu, Tonghai Wu*, Hongbin Yang, Hongkun Wu, NgaimingKwok. Study on Vibration Mechanism Induced by Skidding in Pure Rolling Contact. Tribology International, 2021, 154:106669. (SCI, IF:4.271)

[75] Shuo Wang, Tonghai Wu*, Peng Zheng, et al. Optimized CNN model for identifying similar 3D wear particles in few samples. Wear, 2020, 460-461: 203477. (SCI, IF:4.108)

[74] Shuo Wang, Tonghai Wu*, Kunpeng Wang, Zhongxiao Peng, NgaimingKwok, Thompson Sarkodie-Gyan. 3D Particle Surface Reconstruction from Multi-view 2D Images with Structure from Motion and Shape from Shading [J]. IEEE Transactions on Industrial Electronics, 2020. (doi.org/10.1109/TIE.2020.2970681) (SCI, IF:7.515)

[73] Pan Dou, Tonghai Wu*, Chaopeng Luo, NgaimingKwok. A time-domain ultrasonic approach for oil film thickness measurement with improved resolution and range. Measurement Science and Technoloty, 2020, 31(7):075006. (SCI, IF:1.857)

 

2019年论文

[72] Shuo Wang, Tonghai Wu*, KunPeng Wang, Thompson Sarkodie-Gyan, et al. Ferrograph Analysis With Improved Particle Segmentation and Classification Methods. ASME Journal of Computing and Information Science in Engineering, 2020, 20(2): 021001. (SCI, IF: 1.431)

[71] Ying Du, Tonghai Wu*, Shengxi Zhou, Viliam Makis. Remaining useful life prediction of lubricating oil with DPCA and PHM[J]. Part J: Journal of Engineering Tribology, 2019. (SCI, IF: 1.397)

[70] Lingfeng Yang, Tonghai Wu*, Hongkun Wu, NgaimingKwok, et al. Optimum Color and Contrast Enhancement for On-line Ferrography Image Restoration. ASME Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 2019, 2(3): 031003. (doi: https://doi.org/10.1115/1.4044049)

[69] Pan Dou, Tonghai Wu*, Zhaopeng Luo, Zhongxiao Peng,Thompson Sarkodie-Gyan, et al. The application of the principle of wave superposition in ultrasonic measurement of lubricant film thickness. Measurement, 2019, 137: 312-322. (SCI, IF: 3.364)

[68] Chan Xu, Tonghai Wu*, Yanwen Huo, Hongbin Yang. In-situ characterization of three dimensional worn surface under sliding-rolling contact. Wear, 2019, 426-427: 1781-1787. (SCI, IF: 4.108)

[67] Shuo Wang, Tonghai Wu*, Tao Shao, et al. Integrated model of BP neural network and CNN algorithm for automatic wear debris classification. Wear, 2019, 426-427: 1761-1770. (SCI, IF: 4.108)

[66] Chan Xu, Tonghai Wu*, Yanwen Huo, Hongbin Yang. In-situ characterization of three dimensional worn surface under sliding-rolling contact. 22nd International Conference on Wear of Materials (WOM2019). (International Conference, Oral Presentation)

[65] Shuo Wang, Tonghai Wu*, Tao Shao, et al. Integrated model of BP neural network and CNN algorithm for automatic wear debris classification. 22nd International Conference on Wear of Materials (WOM2019). (International Conference, Oral Presentation)

[64] Shuo Wang, Tonghai Wu*LingfengYang, NgaimingKwok,Thompson Sarkodie-Gyan,et al. Three-dimensional reconstruction of wear particle surface based on photometric stereo. Measurement, 2019, 133: 350-360. (SCI, IF: 3.364)

[63] Shuo Wang, Tonghai Wu*, Jun Chen, Yu Han, Ting Yao. The generation mechanism and morphological characterization of cutting debris based on the finite element methodProceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2019, 233(1), 205–213. (SCI, IF: 1.397)

[62] Hongkun Wu, Ruowei Lia, NgaimingKwoka, Yeping Peng, Tonghai Wu, Zhongxiao Peng. Restoration of low-informative image for robust debris shape measurement in on-line wear debris monitoring. Mechanical Systems and Signal Processing, 2019, 114(1): 539–555. (SCI, IF: 6.471)

[61] Pan Dou Tonghai Wu*, Zhaopeng LuoWide Range Measurement of Lubricant Film Thickness Based on Ultrasonic Reflection Coefficient Phase Spectrum. ASME, Journal of Tribology, 2019, 141(3). (SCI, IF: 1.829)

 

2018年论文

[60] Xi, W., Wu, T.*, Yan, K. et al. Restoration of online video ferrography images for out-of-focus degradations. J Image Video Proc. 2018, (2018): 31(SCI, IF: 1.737)

[59] Zhihe Duan, Tonghai Wu*, Shuaiwei Guo, et al. Development and Trend of Condition Monitoring and Fault Diagnosis of multi-sensors information fusion for Rolling Bearings, A Review. International Journal of Advanced Manufacturing Technology, 2018, 96(1-4):803-819. (SCI, IF: 2.601)

[58] Zhihe Duan, Tonghai Wu*, Yuelei Zhang,et al. Design of an aircraft rolling bearings platform and its thermal performance evaluation. Tehnicki Vjesnik-Technical Gazette, 2018,25:3. (SCI, IF: 0.686) 

[57] Kai Zhang, Tonghai Wu, Qinghu Meng, et al. Ultrasonic measurement of oil film thickness using piezoelectric element. International Journal of Advanced Manufacturing Technology, 2018,94(9-12):3209-3215. (SCI, IF: 2.601)

 

2017年论文

[56] Yeping Peng, Tonghai Wu, Guangzhong Cao,et al. A hybrid search-tree discriminant technique for multivariate wear debris classification. Wear,2017,392-393:152-158. (SCI, IF: 2.96)

[55] Kun Yang, Xinwei Sun, Xiong Zeng, Tonghai Wu. Research on influence of water content to the measurement of wear particle concentration in turbine oil online monitoring simulation.Wear,2017,376-377:1222-1226. (SCI, IF: 2.96)

[54]  Zhang, X., Kanapathipillai, S., Wu, T., & Peng, Z. Frictional behaviour and friction mechanisms of rolling-sliding contact in mixed EHL. Tribology International, 2017,114:201-207. (SCI, IDS: EZ6GE, IF: 2.903)

[53]  Tonghai Wu*, Yeping Peng, Shuo Wang, et al. Morphological feature extraction based on multiview images for wear debris analysis in on-line fluid monitoring. Tribology Transactions, 2017,60(3) :408-418.  (SCI, IDS: EU5HB, IF: 1.418)

[52]  Yeping Peng, Tonghai Wu*, Shuo Wang, et al. A Microfluidic Device for Three-Dimensional Wear Debris Imaging in On-Line Condition Monitoring. Proceedings of iMeche, Part J: Journal of Engineering Tribology, 2017, 231(8): 965-974. (SCI, IDS: FA9PH, IF: 1.32)

[51] Kai Zhang, Tonghai Wu*, Zhihe Duan, et al.  An adaptive approach for recovering overlapping echoes in oil film thickness measurement by ultrasound. Industrial Lubrication and Tribology, 2017,69 (5):788-797. (SCI, IDS: FH8UU, IF: 0.605)

[50] Peng Y, Wu T, Cao G, et al. A hybrid search-tree discriminant technique for multivariate wear debris classification[J]. Wear, 2017, 392-393:152-158. (SCI, IF: 2.323)

[49] Zhihe Duan, Tonghai Wu*, Shuaiwei Guo, Tao Shao, Yanwen Huo. The identification of lubrication state of inner ring and roller element under sliding condition. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Poster Presentation)

[48] Longxin Wang, Tonghai Wu*, Shuo Wang, Lingfeng Yang. Adaptive adjustment of sampling parameters for on-line wear monitoring based on wear debris image features. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Poster Presentation)

[47] Yali Zhang, Zhiqiang Wang, NaQin, Xiaogang Zhang, Tonghai Wu. Friction coefficient and friction reduction of rolling-sliding contact in mixed EHL. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Poster Presentation)

[46] Kai Zhang, Pan Dou, Tonghai Wu*. Measurement of lubrication film thickness of titling-pad thrust bearing by ultrasonic methods. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation)

[45] Pan Dou, Tonghai Wu*, Kai Zhang. Non-intrusive measurement of lubricant film thickness distribution of thrust bearings. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation)

[44] Tao Shao, Tonghai Wu*, Yeping Peng, Shuaiwei Guo. A fuzzy clustering-based BP neural network for intelligent wear debris recognition. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation)

[43] Yeping Peng, Tonghai Wu*, Lingfeng Yang, NgaimingKwok. Online characterization of rolling element bearing wear status using oil debris features. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation) 

[42] Shuo Wang, Tonghai Wu*, Lingfeng Yang, Longxin Wang. Three-dimensional feature extraction of wear particle based on multiobjects tracking and recognition. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation)

[41] Ying Du, Tonghai Wu*, Viliam Makis. Parameter estimation and residual life prediction for deteriorating lubricating oil based on hidden semi-Markov modeling. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation) 

[40] Xiaogang Zhang, Yali Zhang, Tonghai Wu, Sangarapillai, KANAPATHIPILLAI, Zhongxiao Peng. Numerical prediction of the optimal surface roughness of boundary friction. 6st World Tribology Congress, (WTC2017), Beijing, China, 17-22 September 2017. (International Conference, Oral Presentation)

[39] Xiaogang Zhang, Sangarapillai Kanapathipillai, Tonghai Wu, Zhongxiao Peng. Frictional behaviour and friction mechanisms of rolling-sliding contact in mixed EHL. Tribology international, 114, 2017: 201-207. (SCI, IDS: EZ6GE, IF: 2.903)

[38] Ying Du, Tonghai Wu*, Longxin Wang, Renjie Gong.  Investigation on on-line monitoring method for lubricating oil deterioration. Mechanics & Industry, 2017, 18, 402: 1-8. DOI: 10.1051/meca/2017022. (SCI, IDS: FG1YZ, IF: 0.393)

[37] Zhinan ZHANG, Jun LIU, Tonghai Wu, Youbai XIE. Effect of carbon nanotubes on friction and wear of a piston ring and cylinder liner system under dry and lubricated conditions. Friction,  2017, 5(2): 147-154. (SCI, IDS: EV4EP, IF: 1.508) 

[36] Yeping Peng, Tonghai Wu*, Shuo Wang, et al. Wear state identification using dynamic features of wear debris for on-line purpose. Wear, 2017, 376: 1885-1891. (SCI, IDS:EY3VG, IF: 2.531)

[35] Ying Du, Tonghai Wu*, Viliam Makis. Parameter estimation and remaining useful life prediction of lubricating oil with HMM. Wear, 2017, 376: 1227-1233. (SCI,  IDS:EY3VG, IF: 2.531)  

[34] Ying Du, Tonghai Wu*, Renjie Gong. Properties of Water Contaminated Lubricating Oil: Variation with Temperature and Small Water Content. Tribology - Materials, Surfaces & Interfaces, 2017, 11(1): 1-6. (EI: 20170603329736)

[33] Shuo Wang, Tonghai Wu*, Hongkun Wu, et al. Modeling wear state evolution using real time wear debris features. Tribology Transactions, 2017,60(6):1022-1032. (SCI, IF: 1.723)

 

2016年论文  

[32] Wu Hongkun, Kwok Ngai Ming, Liu Sanchi, Wu Tonghai, Peng Zhongxiao. A Prototype of On-line Extraction and Three-dimensional Characterisation of Wear Particle Features from Video Sequence. Wear, 2016, 368–369: 314–325. (SCI, IDS: EG0OZ IF: 2.531)

[31] Qunfeng Zeng*, Guangneng Dong, Yanling Yang, Tonghai Wu. Performance deterioration analysis of the used gear oil. Advances in Chemical Engineering and Science, 2016, 6: 67-75.

[30] 程俊, 王硕, 武通海*, 等. 基于拓展有限元的齿轮点蚀磨粒形态学特征模拟. 机械工程学报, 2016, 15(52): 99-105. (EI20163602766459)

[29] Wu Tonghai *, Du Ying, Li Yang, et al. Synthesized multi-station tribo-test system for bio-tribological evaluation in vitro. Chinese Journal of Mechanical Engineering, 2016, 29(04): 853-861. (SCI, IDS: DV9FD, IF: 0.814)

[28] Ying Du, Tonghai Wu*, V. Makis. Remaining useful life prediction of lubricating oil using condition monitoring and HMM. 21st International Conference on Wear of Materials, (WOM2017), California, USA, 26-30 March 2017. (International Conference, Poster Presentation)

[27] Yeping Peng, Tonghai Wu*, Shuo Wang, et al. Wear state identification using comprehensive dynamic features of on-line wear debris. 21st International Conference on Wear of Materials, (WOM2017), California, USA, 26-30 March 2017. (International Conference, Poster Presentation)

[26] Yali Zhang, Xiaogang Zhang, Tonghai Wu, et al. Effects of surface texturing on the tribological behavior of piston rings under lubricated conditions. Industrial Lubrication and Tribology, 2016, 68(2): 158-169. (SCI, IDS: DJ4BV, IF: 0.444) 

 

2015年论文 

[25] Du Y, Wu T H*, Cheng J, et al. Lubricating oil deterioration on a four-ball test rig via on-line monitoring[C]//Proceedings of Malaysian International Tribology Conference 2015. Malaysian Tribology Society, 2015, 2015: 185-186. (International Conference)

[24] Ngaiming Kwok∗, Haiyan Shi, Gu Fang, Quang Ha, Ying-Hao Yu, Tonghai Wu, Huaizhong Li and Thai Nguyen. Color image enhancement using correlated intensity and saturation adjustments. Journal of Modern Optics, 2015, 62(7): 536-547. (SCIIDS: CM1CS, IF: 1.328, Cited: 1 time) 

[23] Ying Du, Tonghai Wu*, Jun Cheng. Age detection of lubricating oil with on-line sensors. Proceedings of IEEE Sensors 2015. Busan, South Korea, 1-4 November, 2015. (EI: 20161602257092)

[22] Yeping Peng, Tonghai Wu*, Shuo Wang, Zhongxiao Peng. Oxidation wear monitoring based on the color extraction of on-line wear debris. Wear, 2015, 332-333, 1151-1157. (SCI, IDS: CM1JV, IF: 2.531, Cited: 7 times)

[21] Yeping Peng, Tonghai Wu*, Shuo Wang, Ngai-ming Kwok, Zhongxiao Peng. Motion-Blurred Particle Image Restoration for On-line Wear Monitoring. Sensors, 2015, 15(4): 8173-8191. (SCI, IDS: CH7SE, IF: 2.677, Cited: 9 times) 

[20] G. Jiang, C.Y. Wong, S.C.F. Lin, M.A. Rahman, T.R. Ren, Ngaiming Kwok*, Haiyan Shi, Yinghao Yu, Tonghai Wu. Image contrast enhancement with brightness preservation using an optimal gamma correction and weighted-sum approach. Journal of Modern Optics, 2015, 62(7): 536-547. (SCI, IDS: CD0NY, IF: 1.328, Cited: 6 times)  

 

2014年论文

[19] Y.P. Peng, T.H. Wu*, S. Wang, Z.X.Peng. Oxidation wear monitoring based on the color extraction of on-line wear debris. 20th International Conference on Wear of Materials (WOM2015), Toronto, Canada, 12-16 April 2015. (International Conference, Oral Presentation)

[18] Tonghai Wu*, Yeping Peng, Ying Du, Junqun Wang. Dimensional Description of On-line Wear Debris Images for Wear Characterization. Chinese Journal of Mechanical Engineering, 2014, 27(6):1280-1286.  (SCI, IDS: AS7PZ, IF: 0.814, Cited: 3 times) 

[17] Tonghai Wu*, Hongkun Wu, Ying Du, Ngaiming Kwok, Zhongxiao Peng. Imaged Wear Debris Separation for On-line Monitoring Using Gray Level and Integrated Morphological Features. Wear, 2014, 316 (1-2):19-29. (SCI, IDS: AK7JX, IF: 2.531, Cited: 20 times) 

[16] Tonghai Wu*, Yeping Peng, Hongkun Wu, et al. Full-life Dynamic Identification of Wear State Based on On-line Wear Debris Image Features. Mechanical Systems and Signal Processing, 2014, 42(1,2):404-414.  (SCI, IDS: 287HA, IF: 4.116, Cited: 30 times by Google Scholar, 28  times by Web of Science

[15] Tonghai Wu*, Renjie Gong, Xiaogang Zhang, Chenxing Sheng. A Conductivity-based Sensor for Detecting Micro-water in On-line Oil Analysis. IFMATT, 2014, 850-821: 279-283. (EI, DOI: 10.4028/www.scientific.net/AMR.850-851.279

[14] Tonghai Wu*, Yeping Peng, Chenxing Sheng, et al. Intelligent Identification of Wear Mechanism via On-Line Ferrograph Images. Chinese Journal of Mechanical Engineering, 2014, 27(02): 411-417. (SCI, IDS: AC4NB, IF: 0.814, Cited: 4 time) 

[13] Hongkun Wu, Tonghai Wu*, Yeping Peng, Zhongxiao Peng. Watershed-based Morphological Separation of Wear Debris Chains for On-line Ferrograph Analysis. Tribology Letters, 2014, 53(2): 411-420. (SCI, IDS: 302SG, IF: 1.891, Cited: 6 times)  

 

2013年论文

[12] Tonghai Wu*, Hongkun Wu, Ying Du, Zhongxiao Peng. Progress and Trend of Sensor Technology for On-line Oil Monitoring. Science China Technological Sciences, 2013, 56(12): 2914–2926. (SCI, IDS: 269TA, IF: 1.719, Cited: 36 times by Google Scholar, 28 times by Web of Science

[11] Jiaoyi Wu, Xinyan Mi, Tonghai Wu, et al. A Wavelet-analysis-based Differential Method for Engine Wear Monitoring via On-line Visual Ferrograph. Proc  IMechE Part J: J of Engineering Tribology, 2013, 227(12): 1356-1366. (SCI, IDS: 249LK, IF: 1.32, Cited: 12 by Google Scholar, 12  times by Web of Science

 

2012年论文

[10] Tonghai Wu*, Junqun Wang ,Yeping Peng, et al. Description of Wear Debris from On-line Ferrograph Images by Their Statistical Color. Tribology Transactions, 2012, 55(5): 606-614. (SCI, IDS: 996XP, IF: 1.685, Cited: 12 times) 

[9] Chenxing Sheng, Tonghai Wu, Yuelei Zhang. Non-destructive Testing of Marine Diesel Engines Using Integration of Ferrographic Analysis and Spectrum Analysis. INSIGHT- Non-Destructive Testing and Condition Monitoring, 2012, 54(7): 394–398. (SCI, IDS: 987NK, IF: 0.527, Cited: 8 times) 

 

2011年论文

[8] Tonghai Wu*, Dongfeng Diao, Liang Fang. Abrasive Wear Mechanisms of Sand Particles Intruding into ATM Roller-Scraper Tribosystem. Chinese Journal of Mechanical Engineering, 2011, 24(5): 905-910. (SCI, IDS: 825TX, IF: 0.814, Cited: 1 times) 

[7] Tonghai Wu*, Junqun Wang, Jiaoyi Wu, et al. Wear Characterization by On-Line Ferrograph Image. Proc IMechE Part J: J Engineering Tribology, 2011,13(225): 23-34. (SCI, IDS: 712BD, IF: 1.32, Cited: 11 times) 

 

2010年论文

[6] Tonghai Wu*, Weigang Wang, Jiaoyi Wu, et al. Improvement on On-Line Ferrograph Image Identification. Chinese Journal of Mechanical Engineering, 2010, 23(1):1-6. (SCI, IDS: 554RJ, IF: 0.814, Cited: 11 times) 

[5] Tonghai Wu*, Junhong Mao, Guangneng Dong, et al. Journal Bearing Wear Monitoring via On-Line Visual Ferrography. Advanced Materials Research, 2010, 44-46:189-194. (EI, Cited: 11 times) 

 

2009年论文

[4] Tonghai Wu, Junhong Mao, Jintao Wang, et al. A New On-Line Visual Ferrograph. Tribology Transactions, 2009, 52: 623-631. (SCI, IDS: 474JG, IF: 1.685, Cited: 70 times by Google Scholar, 47 times by Web of Science) 

 

2008年论文

[3] 武通海*, 邱辉鹏, 吴教义等. 图像可视在线铁谱传感器的图像数字化处理技术. 机械工程学报, 2008, 9: 83-87.

[2] 武通海*, 刁东风. 沙尘粒子对轮-铲摩擦学系统的侵入机制分析. 摩擦学学报, 2008, 28(2): 184-188.

[1] Dongfeng Diao, Tonghai Wu. Tribology in Natural Sand Dust Environment. Tribology Online, 2008, 3 (7): 370-375.

           
  • 发明专利
         
 
[37] 武通海王青华, 朱可, 李小芳. 一种基于融合卷积神经网络的磨损表面三维形貌测量方法. 申请号: 202011210667.6.
[36] 武通海贾亚萍, 窦潘, 李小芳. 一种面向油膜厚度超声测量的参考信号实时温度补偿方法. 申请号: 202010916874.7. (授权日: 2021.4.7)
[35] 武通海李博, 潘燕. 一种油液不确定状态的信度表征及状态识别的方法. 申请号: 202010655583.7.
[34] 武通海, 李博, 潘燕. 一种多指标监测的油液不确定性状态表征及故障诊断的方法. 申请号: 202010655803.6.
[33] 武通海, 王硕, 郑鹏, 王昆鹏, 曹军义, 雷亚国. 一种基于知识引导CNN的小样本相似磨粒辨识方法. 申请号: 202010584092.8.
[32] 武通海, 韩宇. 基于平面涡状线圈穿透式测量的磨粒在线监测传感器. 申请号: 201910466188.1.(授权日: 2021.3.16)
[31] 武通海邹来胜, 窦潘罗朝鹏. 一种基于三次样条插值的示波器波形抖动修正方法.申请号: 201910489483.9.
[30] 武通海, 王昆鹏, 王硕, 杨羚烽. 一种基于条件生成对抗网络的磨粒形貌数据库创建方法.申请号: 201910489382.1.
[29] 武通海, 朱可, 王昆鹏, 王硕. 一种运动磨粒多表面三维形貌的获取方法.申请号: 201910185038.3.
[28] 武通海, 罗朝鹏, 窦潘, 邹来胜. 解决圆柱滚子轴承超声膜厚测量空间分辨率不足的方法.申请号: 201910185036.4.(授权日: 2020.6.4)
[27] 武通海, 霍彦文, 朱可. 在用齿轮磨损表面微观形貌原位三维重构方法 .申请号: 201910185049.1.(授权日: 2020.6.3)

[26] 武通海, 韩宇. 面向单线圈磁感应式磨粒探测传感器的信号识别方法. 申请号: 201910185035.X.(授权日: 2020.8.14)

[25] 武通海, 杨羚烽, 王硕. 面向在线铁谱图像磨粒识别的局部自适应阈值分割方法.申请号: 201810119775.9.

[24] 武通海, 邵涛, 王硕, 陈峰. 一种多纹理特征融合的磨粒类型自动识别方法. 申请号: 201810118514.5.(授权日: 2020.3.24)

[23] 武通海邵涛, 王硕陈峰. 一种基于颜色主分量提取的磨粒材质自动识别方法. 申请号: 201810162476.3.(授权日: 2021.1.19)

[22] 武通海, 窦潘, 罗朝鹏. 利用超声反射系数相位谱连续检测全尺度润滑膜厚的方法及系统. 申请号: 201810108332.X.(授权日: 2019.8.13)

[21] 武通海, 段志和, 陈渭, 郭帅伟. 一种基于界面摩擦性能监测的滚滑摩擦全寿命测试装置.专利号: 201610504922.5. (授权日: 2018.10.23)

[20] 武通海, 张凯, 窦潘, 陈渭, 孟庆虎. 一种滚子轴承接触区润滑膜厚度的超声检测方法. 申请号: 2017102106521.

[19] 武通海, 杨羚烽, 霍彦文等. 一种基于近场非标准光源的磨痕三维形貌原位获取方法. 申请号: 201710794117.5.

[18] 武通海, 王硕, 霍彦文等. 一种基于光度立体视觉的多个磨粒三维形貌同步获取方法. 申请号: 201710794153.1. (授权日: 2019.9.4)

[17] 武通海, 王龙鑫, 彭业萍等. 一种基于磨粒图像颜色提取的在线氧化磨损状态监测方法. 申请号: 201610052551.1.

[16] 武通海, 张凯, 孟庆虎等. 一种滑动轴承全域润滑膜厚分布的检测方法.  专利号: 201310260854.9. (授权日: 2016.08.17)

[15] 戚社苗, 李辉, 刘恒, 武通海等. 一种采用错位瓦滑动轴承支承的滚动轴承动态性能试验机. 申请号: 201510278250.6.

[14] 戚社苗, 李辉, 刘恒, 武通海等. 采用动静压混合轴承支承的滚动轴承静动态性能试验机. 申请号: 201510278268.6.

[13] 戚社苗, 李辉, 刘恒, 武通海等. 一种采用可倾瓦轴承支承的高速滚动轴承动态性能试验机. 专利号: 201510278250.6.

[12] 武通海, 徐金平, 吴虹堃, 王硕, 李小芳 . 一种风电变速器的润滑油在线监测方法. 专利号: 201510141574.5. (授权日:2017.11.03)

[11] 王玲, 武通海, 申皓等. 面向自然关节组织体外评价的多物理场综合测试系统.专利号: 201310565648.9. (授权日: 2015.08.26)  

[10] 武通海, 吴虹堃, 彭业萍等. 面向在线铁谱图像自动识别的磨粒链自适应分割方法. 申请号: 201310675708.2. (授权日: 2016.12.11)

[9] 武通海, 彭业萍, 吴虹堃等. 一种基于数字视频的快速铁谱分析方法. 专利号: 201310343023.8. (授权日: 2016.01.20)  

[8] 武通海, 吴虹堃, 彭业萍等. 一种基于视频获取的润滑油磨粒在线监测探头. 专利号: 201310141314.9. (授权日: 2015.01.07)  

[7] 武通海, 彭业萍, 吴虹堃等. 一种基于视频获取的润滑油磨粒在线监测与分析方法. 专利号: 201310141313.4. (授权日: 2015.02.25)

[6] 陈渭, 李文岩, 武通海. 配对安装圆锥滚子轴承的载荷计算方法. 专利号: 201210332336.9. (授权日: 2014.09.03)

[5] 武通海, 张小刚, 张乐等. 基于电导率测量的直插式润滑油微量水分传感器. 专利号: 201210085008.3. (授权日: 2014.01.29)

[4] 武通海, 张小刚, 张乐等. 基于电导率测量的在线润滑油微量水分传感器. 专利号: 201210084173.7. (授权日: 2014.01.29)

[3] 武通海, 彭业萍, 张小刚等. 基于数字图像处理的磨损原位测量装置及方法. 专利号: 201210076357.9. (授权日: 2014.01.29)

[2] 武通海, 张小刚, 张乐等. 一种基于电感量测量的在线油液颗粒传感器. 专利号: 201210167540.X. (授权日: 2014.07.23)

[1] 武通海, 张小刚, 张乐等. 一种磨损原位测量的摩擦磨损试验机. 申请号: 201110219851.1.

           
  • 软件著作
         
 

[13] 滚滑试验台数据测量和设备控制软件系统 登记号:2017SR520373

[12] 氧化磨粒在线监测系统 登记号:2015SR164379.

[11] 磨粒特征在线提取系统 登记号: 2015SR162879.

[10] 船舶润滑油在线监测系统 登记号: 2015SR162247.

[9] 往复式生物摩擦试验分析系统. 登记号: 2015SR038282.

[8] 在线油液监测系统. 登记号: 2014SR176445.

[7] 在线铁谱图像处理与多信息提取系统. 登记号: 2014SR117282.

[6] 铁谱在线监测视频单帧图片提取与处理系统. 登记号: 2013SR081796.

[5] 油液图像-视频在线监测系统. 登记号: 2013SR081100.

[4] 铁谱图像统计分析系统. 登记号: 2012SR100568.

[3] 铁谱图像磨粒形态学特征的提取与分析系统. 登记号: 2012SR100564.

[2] 磨痕在线测量系统. 登记号: 2011SR032652. 

[1] 在线铁谱图像处理系统. 登记号: 2011SR016331.