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Proceedings Paper

System for automatic inspection of the wearing surface of bearing shells
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Paper Abstract

This paper describes a computer vision system for the high-precision inspection of bearing shells. We have developed algorithms to solve the problem of inspecting the wearing surfaces of sputter-coated metal shells for surface defects (high spots, cavities, blisters, grooves, and pores). The quality goal to be achieved was 0.3 m2/h, which for a typical 90 mm bearing shell being measured would mean about 0.5 minutes/shell. The resolution to be achieved was of each pixel covering an area of 24 micrometers by 24 micrometers . The analysis method was based on gray-scale rather than a binary algorithm. The quality standards were those defined by the Motoren and Turbinen- Union GmbH, Germany, and Daimler-Benz AG.

Paper Details

Date Published: 6 August 1993
PDF: 11 pages
Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150287
Show Author Affiliations
Albert Niel, Joanneum Research (Austria)
Wolfgang Poelzleitner, Joanneum Research (Austria)


Published in SPIE Proceedings Vol. 2064:
Machine Vision Applications, Architectures, and Systems Integration II
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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