Title
A method based on random-fuzzy variables for online estimation of the measurement uncertainty of DSP-based instruments
Abstract
The evaluation of the uncertainty of the result of a measurement performed by a DSP-based instrument is usually a complex and difficult task. The sources of uncertainty are the instrument input stage and the analog-to-digital converter (ADC), so that each input sample to the instrument can be considered a measurement result with its associated uncertainty. The uncertainty on the final measurement result is obtained as the combination of the uncertainty values of each sample, according to the measurement algorithm implemented on the digital signal processing (DSP) system. This paper proposes an innovative approach, based on the representation of the measurement result and its associated uncertainty in terms of random-fuzzy variables, that, after having suitably characterized the metrological performance of the input stage and analog-to-digital converter, provides an online estimation of the measurement uncertainty. The method has been validated experimentally, and the results of the experimental work are reported.
Year
DOI
Venue
2004
10.1109/TIM.2004.831505
Instrumentation and Measurement, IEEE Transactions
Keywords
Field
DocType
signal processing equipment,signal processing,analogue-digital conversion,random processes,instrument input stage,measurement algorithm,uncertainty measurement,uncertainty evaluation,measurement uncertainty,metrological performance,digital signal processing system,fuzzy systems,dsp-based instrument,metrology,DSP-based instruments,analog-to-digital converter,random-fuzzy variables,online estimation,random fuzzy variable
Digital signal processing,Fuzzy logic,Metrology,Stochastic process,Measurement uncertainty,Electronic engineering,Control engineering,Mathematics
Journal
Volume
Issue
ISSN
53
5
0018-9456
ISBN
Citations 
PageRank 
0-7803-7705-2
12
1.34
References 
Authors
5
3
Name
Order
Citations
PageRank
A. Ferrero137688.12
Gamba, R.2121.34
Simona Salicone326333.62