Analysis and classification of surface variation error using a geometry-adapted discrete wavelet transform

Kevin S. Amaratunga

doi:10.1117/12.342940

22 March 1999 Analysis and classification of surface variation error using a geometry-adapted discrete wavelet transform

Kevin S. Amaratunga

Author Affiliations +

Proceedings Volume 3723, Wavelet Applications VI; (1999) https://doi.org/10.1117/12.342940
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

In this paper, we propose the use of a geometry-adapted Discrete Wavelet Transform as a simple tool for classifying geometric errors that occur due to variation in manufacturing processes. It might be used, for example, in sheet metal forming, where a clay model of an automobile body needs to conform to the specifications contained in a CAD model. Likewise, it might also be used in numerically controlled machining to classify the source of machining error. We demonstrate that constant, oscillatory and random variations can be easily distinguished through an examination of the wavelet coefficients.

Citation Download Citation

Kevin S. Amaratunga "Analysis and classification of surface variation error using a geometry-adapted discrete wavelet transform", Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); https://doi.org/10.1117/12.342940

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