Statistical metrology
Publication
, Journal Article
Kurfess, TR; Banks, DL; Wolfson, LJ
Published in: American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
December 1, 1994
This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using a multivariate statistical approach. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various processes to reduce the size of the multi-dimension confidence interval.
Duke Scholars
Published In
American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
Publication Date
December 1, 1994
Volume
55-2
Start / End Page
961 / 967
Related Subject Headings
- Industrial Engineering & Automation
Citation
APA
Chicago
ICMJE
MLA
NLM
Kurfess, T. R., Banks, D. L., & Wolfson, L. J. (1994). Statistical metrology. American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, 55–2, 961–967.
Kurfess, T. R., D. L. Banks, and L. J. Wolfson. “Statistical metrology.” American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC 55–2 (December 1, 1994): 961–67.
Kurfess TR, Banks DL, Wolfson LJ. Statistical metrology. American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC. 1994 Dec 1;55–2:961–7.
Kurfess, T. R., et al. “Statistical metrology.” American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, vol. 55–2, Dec. 1994, pp. 961–67.
Kurfess TR, Banks DL, Wolfson LJ. Statistical metrology. American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC. 1994 Dec 1;55–2:961–967.
Published In
American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
Publication Date
December 1, 1994
Volume
55-2
Start / End Page
961 / 967
Related Subject Headings
- Industrial Engineering & Automation