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Proceedings Paper

Sampling uncertainty evaluation for data acquisition board based on Monte Carlo method
Author(s): Leyi Ge; Zhongyu Wang
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Paper Abstract

Evaluating the data acquisition board sampling uncertainty is a difficult problem in the field of signal sampling. This paper analyzes the sources of dada acquisition board sampling uncertainty in the first, then introduces a simulation theory of dada acquisition board sampling uncertainty evaluation based on Monte Carlo method and puts forward a relation model of sampling uncertainty results, sampling numbers and simulation times. In the case of different sample numbers and different signal scopes, the author establishes a random sampling uncertainty evaluation program of a PCI-6024E data acquisition board to execute the simulation. The results of the proposed Monte Carlo simulation method are in a good agreement with the GUM ones, and the validities of Monte Carlo method are represented.

Paper Details

Date Published: 9 October 2008
PDF: 8 pages
Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 712807 (9 October 2008); doi: 10.1117/12.806353
Show Author Affiliations
Leyi Ge, Beihang Univ. (China)
Zhongyu Wang, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 7128:
Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment

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