MODELLING OF NON-IDEAL MEASURING PROCESSES – PREREQUISITE FOR ERROR AND UNCERTAINTY ANALYSIS
Karl H. Ruhm
Abstract:
The determination of the uncertainty of measurement results is one of the most demanding but unpopular tasks in metrology. One of several reasons for this fact is the lack of well-structured models of non-ideal measurement processes on one hand and of qualification processes, which determine measurement uncertainties, on the other hand. Easily available and universally valid models would greatly help to improve measurement quality. But since process modelling is very laborious, practitioners are additionally confronted with cost-benefit questions. This paper starts with the most popular but rather incomplete error model and, on the basis of Signal and System Theory, derives a quantitative structure of the non-ideal measurement process. This structure is comprehensive and open for further and more challenging extensions.
Keywords:
non-ideal measurement process, error quantities, erroneous measurement results
Download:
PWC-2006-TC7-010u.pdf
DOI:
-
Event details
Event name:
XVIII IMEKO World Congress
Title:

Metrology for a Sustainable Development

Place:
Rio de Janeiro, BRAZIL
Time:
17 September 2006 - 22 September 2006
 Back