Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)

A Machine Vision System for Real-time Automated Gear Fatigue Pitting Detection

Authors
Zhang Jie, Ma Shuyuan, Huang Jie, Long Zhenhai
Corresponding Author
Zhang Jie
Available Online December 2012.
DOI
10.2991/mems.2012.127How to use a DOI?
Keywords
machine vision, gear pitting, fatigue, image processing
Abstract

The machine vision system for the detection of the gear pitting is an essential element for the mechanical fatigue test, because the whole system effectively integrates internal information of the fatigue test to classify the related data into different sort automatically. Therefore, an industrial machine vision for gear pitting detection is proposed in this paper, and an image processing algorithm which mainly consists of image segmentation algorithm and contour computation is presented.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
Series
Advances in Intelligent Systems Research
Publication Date
December 2012
ISBN
978-90-78677-59-8
ISSN
1951-6851
DOI
10.2991/mems.2012.127How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhang Jie
AU  - Ma Shuyuan
AU  - Huang Jie
AU  - Long Zhenhai
PY  - 2012/12
DA  - 2012/12
TI  - A Machine Vision System for Real-time Automated Gear Fatigue Pitting Detection
BT  - Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
PB  - Atlantis Press
SP  - 483
EP  - 486
SN  - 1951-6851
UR  - https://doi.org/10.2991/mems.2012.127
DO  - 10.2991/mems.2012.127
ID  - Jie2012/12
ER  -