A Multivariate Statistical Approach to Metrology-Reference-Cited by-同舟云学术

A Multivariate Statistical Approach to Metrology

Published:1996-11-01 Issue:4 Volume:118 Page:652-657
ISSN:1087-1357
Container-title:Journal of Manufacturing Science and Engineering
language:en
Short-container-title:

Author:

Kurfess T. R.¹,Banks D. L²,Wolfson L. J.²

Affiliation:

1. The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332

2. Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213

Abstract

This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using multivariate statistical techniques. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various manufacturing and measurement processes to reduce the size of the multidimensional confidence interval.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/118/4/652/4858527/652_1.pdf

Reference12 articles.

1. ANSI Y14.5M—1982, Dimensioning and Tolerancing, American Society of Mechanical Engineers.

2. Berger, J. O., Statistical Decision Theory and Bayesian Analysis, Springer-Verlag, New York, NY, 1985.

3. Bickel, P. and Doksum, K., 1977, Mathematical Statistics: Basic Ideas and Selected Topics, Holden-Day, Inc., San Francisco.

4. Chapman, G. R., and Kim, P. T., 1992, “Spherical Regression in Quality Assurance,” Institute for Improvement in Quality and Productivity Research Report RR-92-01, University of Waterloo, Ontario.

5. Chen, G., and Chen, J., 1992, “Geometric Quality Assurance,” Institute for Improvement in Quality and Productivity Research Report RR-92-06, University of Waterloo, Ontario.

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