Next Article in Journal
A MATLAB/GUI Based Fault Simulation Tool for Power System Education
Previous Article in Journal
A Review of Rules Family of Algorithms
Article Menu

Article Versions

Export Article

Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
Open AccessArticle
Math. Comput. Appl. 2005, 10(1), 71-77;

Modified LSM for Calibration of Measuring Apparatus

Faculty of Aeronautics and Astronautics, Istanbul Technical University 34469, Maslak, Istanbul, Turkey
Published: 1 April 2005
PDF [145 KB, uploaded 30 March 2016]


Modified least squares method (LSM) is developed that take into account errors in input standard signals for calibration of measuring devices. Calibration of the differential pressure gage by the standard control-point setting mechanisms is demonstrated in the paper as an example. The accuracy of the coefficient estimates changes when the errors of the control-point setting mechanisms are taken into account. Using the LSM in the classic form for the mentioned case gives wrong estimation errors in the final estimations of calibration curve coefficients. Therefore, for estimation of errors, characteristics of fractional errors are proposed use and as a variance of estimations errors guarantee the stability of the final estimation values.
Keywords: Least Squares Method; Calibration Characteristics; Differential Pressure Gage; Fractional Error Least Squares Method; Calibration Characteristics; Differential Pressure Gage; Fractional Error
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Hajiyev, C. Modified LSM for Calibration of Measuring Apparatus. Math. Comput. Appl. 2005, 10, 71-77.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top