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The Discussion and Prospect on Key Problems for Vision Accurate Inspection of Wear Debris

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Advances in Computational Science and Computing (ISCSC 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 877))

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Abstract

Due that the wear debris is the critical information carrier and wear mechanism criterion in frictional and wear process. The status and attendant problems for wear debris vision inspection technology have been researched in analysis of the paper. On the basis combination of wear debris requirement and the practical situation, the paper has taken the research wear debris real-time inspection problem as foundation and has made it as target to around existed vision methods of wear debris are not effectively solved the three key problems: diversity and time variability of image features, uncertainty and complexity species classification, multi-restrictions and accuracy of wear debris density auto-counting. The objective of the paper is to establish a new kind theory and technique based on the vision accurate inspection by deeply research the vision inspection theory for wear debris.

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Acknowledgment

This work is supported by Program for Innovative Research Team (in Science and Technology) in University of Henan Province (15A520056), Supported by Youth Foundation of Henan University of Technology (2016QNJH29), and Research Key Scientific Research Projects of the Higher Education Institutions of Henan Province under Grant (18A430011).

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Authors and Affiliations

  1. HeNan University of Technology, Zhengzhou, China

    Guicai Wang & Donglin Li

Authors
  1. Guicai Wang
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  2. Donglin Li
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Correspondence to Guicai Wang .

Editor information

Editors and Affiliations

  1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

    Ning Xiong

  2. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Zheng Xiao

  3. School of Computer Science, Hunan Normal University, Changsha, Hunan, China

    Zhao Tong

  4. Hunan University of Chinese Medicine, School of Computer Science, Changsha, Hunan, China

    Jiayi Du

  5. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  6. Design and Physical Sciences Brunel, Electronic and Computer Engineering, College of Engineering, Uxbridge, Middlesex, UK

    Maozhen Li

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Wang, G., Li, D. (2019). The Discussion and Prospect on Key Problems for Vision Accurate Inspection of Wear Debris. In: Xiong, N., Xiao, Z., Tong, Z., Du, J., Wang, L., Li, M. (eds) Advances in Computational Science and Computing. ISCSC 2018 2018. Advances in Intelligent Systems and Computing, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-030-02116-0_21

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