Deltamu has produced a series of articles and videos that show measurement science in a new light, and include pragmatic definitions of frequently used terms: calibration, periodicity, uncertainty, monitoring, ...
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Date of publication: 9/6/2021
Data reliability will be an essential factor in Industry 4.0. And to ensure this reliability metrology must also make its 4.0 revolution!
To increase the efficiency of your processes, the quality of measurements taken must improve. Deltamu supports you to guarantee the reliability of your daily measurement results: https://www.deltamu.com/en/
Date of publication: 4/20/2020
Who has never been moved by a song or other piece of music, an orchestral masterpiece, perhaps, or a tuneful number sung on the radio? What is the magic that causes that thrill that a melody can give us?
In order for music to make the body resonate in that special way, every note must be in its place, produced with accuracy and precision by the instrument, whether string, brass, percussion, or voice... It''s only when all the ''ingredients'' are there **in the right measure **that anyone can say "This music is good"
Date of publication: 12/12/2017
We are living a new industrial revolution : the digital revolution when data reliability takes sense to analyze the mass of dat collected in the industry from various process...
Date of publication: 5/16/2017
In this article from IEEE Instrumentation & Measurement Magazine, Jean-Michel POU explain why we should forget calendar-based calibration and have a smart approach of calibration.
Date of publication: 12/20/2016
One of the key points in modern measurement science is the evaluation of measurement uncertainty, according to the definition given by the International Vocabulary of Metrology (VIM) [1] and the procedure recommended by the Guide to the Expression of Uncertainty in Measurement (GUM) and its supplements [2]–[4]. According to these documents, when several sources of uncertainty are present, the related standard uncertainties shall be quadratically combined, and the covariances must be considered, if present [2].