New proposal for uncertainty evaluation in indirect measurements

This paper deals with the uncertainty evaluation in indirect measurements. The attention is mainly paid to measurement models whose input quantities are modeled as correlated random variates. Moving from a past proposal related to the use of the unscented transform to overcome key limitations of cur...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2006-08, Vol.55 (4), p.1059-1064
Main Authors: Angrisani, L., Schiano Lo Moriello, R., D'Apuzzo, M.
Format: Article
Language:English
Subjects:
Computer simulation
Correlated input random variates
Correlation analysis
Current measurement
indirect measurements
Instrumentation
Law
Legal factors
Mathematical models
Measurement standards
Measurement uncertainty
Monte Carlo simulation
Nonlinearity
Particle measurements
Proposals
Standardization
Testing
Transforms
Uncertainty
unscented transform (UT)
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Summary:This paper deals with the uncertainty evaluation in indirect measurements. The attention is mainly paid to measurement models whose input quantities are modeled as correlated random variates. Moving from a past proposal related to the use of the unscented transform to overcome key limitations of current guide to the expression of uncertainty in measurement recommendations in the presence of the input quantities modeled as uncorrelated random variates, the authors are going to present a new proposal capable of extending the advantages of the cited transform when correlated input random variates are also concerned. The new proposal is, in particular, addressed to nonlinear and/or nonanalytical measurement models. After describing the key features and implementation issues of the proposal, the results obtained in a number of tests on simulated and actual measurement data are given, which assess its reliability and effectiveness.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2006.876540