Open AccessGenetic algorithm and least square method‐based calibration of measurement apparatus
Author(s) -
Hacizade Ulviye
Publication year - 2019
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2018.5030
Subject(s) - calibration , gauge (firearms) , polynomial , algorithm , genetic algorithm , differential (mechanical device) , square (algebra) , process (computing) , computer science , mathematics , physics , mathematical optimization , mathematical analysis , statistics , materials science , geometry , metallurgy , thermodynamics , operating system
The calibration process is one of the methods for decreasing the measurement apparatus uncertainties. In this study, the sensor calibration is performed using the values reproduced by standard setting devices. Generally, the calibration characteristics of measurement apparatus are taken in a polynomial form. In this study, a genetic algorithm (GA) is used for the measurement apparatus calibration purpose. As an example, GA‐based calibration of a differential pressure gauge using standard pressure setting devices is examined. The calibration results, founded using the proposed GA, are compared with the results obtained via the classical least square method. As a result, the recommendations on how to get better calibration characteristics for the differential pressure gauge are given.