DocumentCode
2557081
Title
Uncertainty analysis in least-square fitting according to next generation of GPS standard system
Author
Liang-Rong, Zhu ; Ya, Zhang
Author_Institution
Zhejiang Ind. Polytech. Coll., Shao Xing, China
fYear
2010
fDate
16-18 April 2010
Firstpage
555
Lastpage
559
Abstract
Next generation of Geometrical Product Specifications (GPS) is the foundation of the technology standards and metrology specifications of mechanical and electric products. Uncertainty estimation of measurement according to next generation of GPS can improve the reliability of the verification result. A method to estimate the uncertainty in the process of least-square fitting is proposed according to the requirements of next generation of GPS standard system. Based on the transparent box model given in ISO/TS 14253-2, the calculation equation of the uncertainty in the process of least-square fitting is deduced. The experimental result indicates that the method can not only assure the integrity of the verification result, but also improve the reliability of verification.
Keywords
ISO standards; electrical products; least squares approximations; measurement standards; measurement uncertainty; mechanical products; reliability; uncertain systems; GPS standard system; ISO/TS 14253-2; electric products; geometrical product specifications; least-square fitting process; measurement standard uncertainty; mechanical products; transparent box model; uncertainty analysis; verification reliability; Calibration; Educational institutions; Equations; Fitting; Global Positioning System; ISO standards; Industrial relations; Measurement uncertainty; Metrology; Standards development; Geometrical Product Specification; least-square; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5478212
Filename
5478212
Link To Document