Auto-evaluation of the uncertainty in virtual instruments

Author

Ghiani, Emilio ; Locci, Nicola ; Muscas, Carlo

Author_Institution

Dipt. di Ingegneria Elettrica ed Elettronica, Univ. di Cagliari, Italy

Volume

53

Issue

3

fYear

2004

fDate

6/1/2004 12:00:00 AM

Firstpage

672

Lastpage

677

Abstract

A numerical approach based on a Monte Carlo probabilistic method is used as an advantageous alternative to the traditional analytical methods for the evaluation of the uncertainty in measurements achieved by digitally processing sampled input data. The correctness of the approach is shown in the case of both single-channel and multichannel systems. Some practical concerns about the reliability of the proposed methodology are discussed, and suitably designed virtual instruments are presented that are able to present the measurement result along with its uncertainty.

Keywords

Monte Carlo methods; measurement uncertainty; sampled data systems; virtual instrumentation; Monte Carlo probabilistic method; auto-evaluation; digital processing; measurement uncertainty; multichannel systems; sampled input data; single-channel systems; virtual instruments; Analog-digital conversion; Availability; Bandwidth; ISO standards; Instruments; Jitter; Measurement uncertainty; Monte Carlo methods; Quantization; Voltage; Measurement uncertainty; Monte Carlo method; virtual instruments;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2004.827080

Filename

1299127