Robust Regression Applied to Optical-Fiber Dimensional Quality Control

To minimize coupling losses when low-cost connectors are used to mate optical fibers, manufacturers need to maintain tight control of fiber dimensions. The video-microscope, or gray-scale, method is the most frequently used technique on the manufacturing floor for measuring the geometric parameters...

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Bibliographic Details
Published in:Technometrics 1997-02, Vol.39 (1), p.25-33
Main Authors: Wang, C. Ming, Vecchia, Dominic F., Young, Matt, Brilliant, Nathan A.
Format: Article
Language:English
Subjects:
Accuracy
Automation
Circles
Cladding
Edge detection
Ellipses
Error rates
Geometry
Gray-scale analysis
Image processing
Integrated software
Least median of squares regression
Least squares
Manufacturing
Optical fibers
Orthogonal-distance regression
Outliers
Pixels
Quality assurance
Quality control
Telecommunications industry
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Summary:To minimize coupling losses when low-cost connectors are used to mate optical fibers, manufacturers need to maintain tight control of fiber dimensions. The video-microscope, or gray-scale, method is the most frequently used technique on the manufacturing floor for measuring the geometric parameters of the cleaved end of a telecommunications fiber. We present a method for performing optical-fiber dimensional quality control that allows for end face damage and accounts for the special structure of measurement errors in fiber edge points calculated from gray-scale images. The new approach adheres to the industrial standard test procedure by fitting an ellipse to the edge table to obtain geometric measurements. But, to create high-breakdown resistance to outliers, a data filter based on the least median of squares criterion is used.
ISSN:0040-1706
1537-2723
DOI:10.1080/00401706.1997.10485436