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TECHNICAL PAPERS

A Mathematical Transform to Analyze Part Surface Quality in Manufacturing

[+] Author and Article Information
Irem Y. Tumer

Computational Sciences, NASA Ames Research Center, Moffett Field, CA 94035-1000 e-mail: itumer@ptolemy.arc.nasa.gov

Kristin L. Wood

Mechanical Engineering, The University of Texas, Austin, TX 78712-1063 e-mail: wood@mail.utexas.edu

Ilene J. Busch-Vishniac

Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218 e-mail: ilenebv@jhu.edu

J. Manuf. Sci. Eng 122(1), 273-279 (Aug 01, 1999) (7 pages) doi:10.1115/1.538904 History: Received December 01, 1997; Revised August 01, 1999
Copyright © 2000 by ASME
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References

Figures

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Eigenvectors and coefficient vectors for fault state 3: (a) eigenvector: low frequency component; (b) coefficient vector (low frequency); (c) eigenvector: high frequency component; (d) coefficient vector (high frequency)
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Surface measurement of part No. 1
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Normal versus faulty state 1: (a) eigenvector: low frequency component; (b) coefficient vectors, low-frequency eigenvectors; (c) eigenvector: high frequency component; (d) coefficient vectors, high-frequency eigenvectors
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Principal eigenprofiles and coefficient vector for faulty state 2. (a) Eigenvectors No. 1 and 2; (b) coefficient vector No. 1.
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Surface measurement of part No. 2
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Karhunen-Loève analysis of surfaces from part No. 2: (a) eigenvectors; (b) spectrum of eigenvector No. 2.

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