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彭业萍      助理教授

性别:

邮箱: yeping.peng@szu.edu.cn

办公室: 机电楼s627室

人才称号:

最终学位: 博士

办公电话: 0755-86950053

导师资格: 硕士生导师

研究领域:

机器视觉智能检测、物联网与大数据分析、机器故障预测与健康管理

主讲本科课程:

控制系统仿真、机器人概论

主讲研究生课程:

计算机视觉、数字信号分析与处理

教育背景:

2014 – 2017,西安交通大学机械工程学院博士学位;
2014 – 2015,澳大利亚新南威尔士大学机械与制造工程学院联合培养博士;
2011 – 2014,西安交通大学机械工程学院硕士学位;
2007 – 2011,哈尔滨工程大学机电工程学院学士学位。

工作履历:

2017-至今,深圳大学机电与控制工程学院助理教授。

代表期刊论文:

2017年论文
1.Yeping Peng, Tonghai Wu, Guangzhong Cao*, et al. A hybrid search-tree discriminant technique for multivariate wear debris classification[J]. Wear, 2017, 392-393: 152-158. (SCI, JCR二区)
2.Yeping Peng, Tonghai Wu*, Shuo Wang, et al. Wear state identification using dynamic features of wear debris for online purpose[J]. Wear, 2017, 376-377: 1885-1891. (SCI, JCR二区)
3.Yeping Peng, Tonghai Wu*, Shuo Wang, et al. A microfluidic device for three-dimensional wear debris imaging in on-line condition monitoring[J]. Proceedings of the Institution of Mechanical Engineers, Part J- Journal of Engineering Tribology, 2017, 231(8): 965-974. (SCI, JCR四区)
4.Tonghai Wu*, Yeping Peng, Shuo Wang, et al. Morphological feature extraction based on multi-view images for wear debris analysis in on-line fluid monitoring[J]. Tribology Transactions, 2017, 60(3): 408-418. (SCI, JCR三区)
5.Songbo Ruan, Yeping Peng, Guangzhong Cao*, et al. Man-machine interaction for an unmanned tower crane using wireless multi-controller. International Conference on Intelligent Robotics and Applications (ICIRA), 2017, Lecture Notes in Computer Science, 10462: 381-392. (EI)
2017年以前论文
1.Yeping Peng, Tonghai Wu*, Wang Shuo, et al. Oxidation wear monitoring based on the color extraction of on-line wear debris[J]. Wear, 2015, 332-333: 1151~1157. (SCI, JCR二区)  
2.Yeping Peng, Tonghai Wu*, Wang Shuo, et al. Motion-blurred particle image restoration for on-line wear monitoring[J]. Sensors, 2015, 15(4): 8173~8191. (SCI, JCR二区)
3.Tonghai Wu*, Yeping Peng, Hongkun Wu, et al. Full-life dynamic identification of wear state based on on-line wear debris image features[J]. Mechanical Systems and Signal Processing, 2014, 42(1-2): 404-414. (SCI, JCR一区)
4.Tonghai Wu*, Yeping Peng, Chenxing Sheng, et al. Intelligent identification of wear mechanism via on-line ferrograph Images[J]. Chinese Journal of Mechanical Engineering, 2014, 27(2): 411-417. (SCI, JCR四区)
5.Tonghai Wu*, Yeping Peng, Ying Du, et al. Dimensional description of on-line wear debris images for wear characterization[J]. Chinese Journal of Mechanical Engineering, 2014, 27(6): 1280-1286. (SCI, JCR四区)
6.Hongkun Wu, Tonghai Wu*, Yeping Peng, et al. Watershed-based morphological separation of wear debris chains for on-line ferrograph analysis[J]. Tribology Letters, 2013, 53(2). (SCI, JCR三区)
7.Tonghai Wu*, Junqun Wang, Yeping Peng, et al. Description of wear debris from on-line ferrograph images by their statistical color[J]. Tribology Transactions, 2012, 55(5): 606-14. (SCI, JCR三区)
8.武通海, 彭业萍, 盛晨兴, 吴教义. 基于在线铁谱图像的磨损机理智能辨识[J]. 机械工程学报, 2014, (05): 212-212. (EI)

代表专利:

1.武通海, 彭业萍, 吴虹堃, 程俊. 一种基于数字视频的快速铁谱分析方法[P]. 专利号: ZL201310343023.8.
2.武通海, 彭业萍, 吴虹堃, 谢友柏. 一种基于视频获取的润滑油磨粒在线监测与分析方法[P]. 专利号: ZL201310141313.4.
3.武通海, 彭业萍, 张小刚, 张乐. 基于数字图像处理的磨损原位测量装置及方法[P]. 专利号: ZL201210076357.9.
4.武通海, 吴虹堃, 彭业萍, 谢友柏. 一种基于视频获取的润滑油磨粒在线监测探头[P]. 专利号: ZL201310141314.9.
5.武通海, 吴虹堃, 彭业萍. 面向在线铁谱图像自动识别的磨粒链自适应分割方法[P]. 专利号: ZL201310675708.2.
6.武通海, 王龙鑫, 彭业萍, 王硕. 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[P]. 申请号: 201610052551.1.
7.武通海, 张小刚, 张乐, 彭业萍, 张亚丽. 基于电导率测量的在线润滑油微量水分传感器[P]. 专利号: ZL201210084173.7.
8.武通海, 张小刚, 张乐, 彭业萍, 张亚丽. 基于电导率测量的直插式润滑油微量水分传感器[P]. 专利号: ZL201210085008.3.

获得荣誉:

1.武通海,陈渭,彭业萍,等. 重大机械设备磨损状态在线监测系统,第十七届中国国际工业博览会高校展区优秀展品一等奖,中国国际工业博览会高校展区组委会教育部科技发展中心, 2015.
2.彭业萍. 2015年全国青年摩擦学学术会议优秀论文奖,中国机械工程学会摩擦学分会,2015.

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