Bin Liu
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An automatic system for bearing surface tiny defect detection based on multi-angle illuminations
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Indexed by:Journal Papers

Date of Publication:2020-04-01

Journal:OPTIK

Included Journals:SCIE

Volume:208

ISSN No.:0030-4026

Key Words:Miniature bearings; Tiny defect detection; Multi-angle illuminations

Abstract:Bearings are very common mechanical components that are widely used in all kinds of machines. Currently, bearing surface defect detection is mainly completed by naked-eye observation. This manual detection mode has low reliability and is time consuming (especially for miniature bearings). In this paper, we present an automatic synthetic tiny defect (small defects that are difficult to find at vertical angles) detection system for bearing surfaces with self-developed software and hardware. Under two illumination modes in this system, thresholding segmentation, contour extraction, contour filtering, center location, region zoning and text recognition are successively implemented. Finally, four common defects (gap, stain, shrunken lid and scratch defects) are automatically detected. The experimental results show that this system has a high detection success rate and short time consumption. This method can provide technical support for real engineering applications involving bearing manufacturing and screening.

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Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:软件学院、国际信息与软件学院

Discipline:Software Engineering. Computer Applied Technology

Business Address:大连市经济技术开发区图强街321号大连理工大学开发区校区信息楼

Contact Information:laohubinbin@163.com

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