DocumentCode
2237878
Title
Toward template-based tolerancing from a Bayesian viewpoint
Author
Noble, Alison ; Mundy, Joe
Author_Institution
GE Corp. Res. & Dev. Center, Schenectady, NY, USA
fYear
1993
fDate
15-17 Jun 1993
Firstpage
246
Lastpage
252
Abstract
A novel approach to part tolerancing with measurement error based on Bayesian methods is presented. Parts are represented by parameterised constraint templates. A priori knowledge about expected part geometry is introduced through a prior distribution and template parameter distributions (rather than just nominal parameter values) estimated from data sets using Gibbs sampling. The case of a toleranced dimension and linear constraints is analyzed. An extension to nonlinear constraints is briefly described
Keywords
Bayes methods; computational geometry; inspection; parameter estimation; quality control; Bayesian viewpoint; Gibbs sampling; measurement error; part geometry; part tolerancing; template parameter distributions; template-based tolerancing; Assembly; Bayesian methods; Geometry; Inspection; Manufacturing industries; Manufacturing processes; Measurement errors; Parameter estimation; Probability distribution; Production; Sampling methods; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.340982
Filename
340982
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