A Monte Carlo Method for the Auto-Evaluation of the Uncertainties in the Analog-to-Digital Conversion-Based Measurements
- Autori: NUCCIO S; SPATARO C
- Anno di pubblicazione: 2004
- Tipologia: eedings
- Parole Chiave: Measurements ; Uncertainty analysis ; random-fuzzy variables
- OA Link: http://hdl.handle.net/10447/10546
This paper concerns with the measurement uncertainty estimation in the analog-to-digital conversion-based instruments. By using an ad hoc developed software tool, the Monte Carlo method is applied in order to assess the uncertainties associated with the measurement results, overcoming the possible inapplicability of the pure theoretical approach prescribed in the ISO - "Guide to the Expression of Uncertainty in Measurement". By implementing the software tool in the measurement instruments, the proposed approach can be utilized in order to make the instrument itself able to auto-estimate the measurement uncertainties.