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Proceedings Paper

Real-time vision-based detection of wire gapping on a rotating transformer core
Author(s): Colin J. Taylor; Ethan Evans; John M. Dolan; Pradeep K. Khosla
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Paper Abstract

High-quality transformer winding requires precise measurement and control of the gapping between adjacent wires. We take a vision-based approach to the measurement subtask of determining the gaps between copper wires wound onto an oval transformer. The oval core shape, which can have an eccentricity as high as 2-to-1, leads to significant variations in surface normal and viewing distance. We use special lighting, a secondary mandrel shape sensor, and the specular reflection off the wires to give us an accurate model of the experimental geometry. We further exploit the vertical symmetry of the viewed region to condense our 2D image to a simple 1D signal containing reflectance peaks. after utilizing pattern recognition and some additional safety features to separate the wire peaks from background noise, we perform a least squares curve fit of the peaks to determine the subpixel maxima. the final algorithm is computationally fast and yields the desired wire gap in an absolute metric.

Paper Details

Date Published: 4 January 1995
PDF: 12 pages
Proc. SPIE 2349, Industrial Optical Sensors for Metrology and Inspection, (4 January 1995);
Show Author Affiliations
Colin J. Taylor, Carnegie Mellon Univ. (United States)
Ethan Evans, Carnegie Mellon Univ. (United States)
John M. Dolan, Carnegie Mellon Univ. (United States)
Pradeep K. Khosla, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 2349:
Industrial Optical Sensors for Metrology and Inspection
Kevin G. Harding; H. Philip Stahl, Editor(s)

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