Kalman Filter type Sequential Method with Stopping Rule for Calibration of Measurement Instruments

Chingiz Hajiyev*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this paper a Kalman filter type algorithm for estimating a calibration characteristic of measurement instruments is presented. That approach gives a rigorous derivation of a recurrent algorithm for estimating the parameters of the calibration curve with the incorporation of the errors in reproducing the inputs. A new approach has been proposed for the generation of stopping rule in calibration characteristics identification problem. The proposed stopping rule defines the coefficients estimation halt and makes possible to determine sufficient number of measurements to attain required accuracy of calculated estimates. As an example, the problem of calibration of a differential pressure gauge using standard pressure setting devices (piston gauges) is examined.

Original languageEnglish
Title of host publicationAdvanced Mathematical and Computational Tools in Metrology and Testing VIII
PublisherWorld Scientific Publishing Co.
Pages148-153
Number of pages6
ISBN (Electronic)9789812839527
ISBN (Print)9789812839510
DOIs
Publication statusPublished - 1 Jan 2009

Bibliographical note

Publisher Copyright:
© 2009 by World Scientific Publishing Co. Pte. Ltd.

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