201919th International Congress of Metrology
|Nombre de pages||6|
|Section||Uncertainties / Incertitudes|
|Publié en ligne||23 septembre 2019|
La derive dans l’évaluation de l’incertitude
ACEI Services, 6 bis rue Jean Zay, 64000 Pau, France
* Corresponding author : firstname.lastname@example.org
Taking into account the instrumental drift in the uncertainty of measurement does not benefit at this time from a provided bibliography. Although an abundant literature (standards, articles, samples collections, etc.) dealing with the estimation of uncertainty by the GUM method exists, the question of the drift component is often avoided or inaccurate, usually limited to a point-to-point deviation divided by 2√3, which is based on an erroneous hypothesis and clearly confines to being immobile. The choice of a rectangular probability law supposes that the greatest variation observed is necessarily the greatest observable variation; in other words, during the observed history (sometimes reduced to two calibration certificates), we noted the maximum drift of which the instrument could be the object. If the method is effectively statistically questionable, it becomes completely useless as soon as a modification takes place; especially when the periodicity optimization (variable calibration frequency) is used or when the points are changed from one calibration to another, in number or level. We propose here an alternative method which intends to correct these defects and is at once compatible with the principles of the GUM and easily automatable.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.