Title :
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
fDate :
6/1/2004 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2004.827080
