Uncertainty analysis for fluorescence tomography with Monte Carlo method

2011 ◽  
Author(s):  
Alice Reinbacher-Köstinger ◽  
Manuel Freiberger ◽  
Hermann Scharfetter
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Uncertainty Analysis ◽  
Fluorescence Tomography

scholarly journals Uncertainty analysis of a radiative transfer model using Monte Carlo method within 280–2500 nm region

Solar Energy ◽  
2016 ◽  
Vol 132 ◽  
pp. 558-569 ◽  
Author(s):  
Giorgio Belluardo ◽  
Grazia Barchi ◽  
Dietmar Baumgartner ◽  
Marcus Rennhofer ◽  
Philipp Weihs ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Radiative Transfer ◽  
Uncertainty Analysis ◽  
Radiative Transfer Model ◽  
Transfer Model

scholarly journals Uncertainty Analysis of a Test Bed for Calibrating Voltage Transformers vs. Temperature

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4472 ◽  
Author(s):  
Mingotti ◽  
Peretto ◽  
Tinarelli ◽  
Ghaderi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Uncertainty Analysis ◽  
Random Effects ◽  
Evaluation Method ◽  
Uncertainty Evaluation ◽  
Test Bed ◽  
Uncertainty Sources ◽  
The Monte Carlo Method

The paper addresses the evaluation of the uncertainty sources of a test bed system for calibrating voltage transformers vs. temperature. In particular, the Monte Carlo method has been applied in order to evaluate the effects of the uncertainty sources in two different conditions: by using the nominal accuracy specifications of the elements which compose the setup, or by exploiting the results of their metrological characterization. In addition, the influence of random effects on the system accuracy has been quantified and evaluated. From the results, it emerges that the choice of the uncertainty evaluation method affects the overall study. As a matter of fact, the use of a metrological characterization or of accuracy specifications provided by the manufacturers provides respectively an accuracy of 0.1 and 0.5 for the overall measurement setup.

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