Sampling uncertainty evaluation for data acquisition board based on Monte Carlo method

Leyi Ge; Zhongyu Wang

doi:10.1117/12.806353

9 October 2008 Sampling uncertainty evaluation for data acquisition board based on Monte Carlo method

Leyi Ge, Zhongyu Wang

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 712807 (2008) https://doi.org/10.1117/12.806353
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Leyi Ge and Zhongyu Wang "Sampling uncertainty evaluation for data acquisition board based on Monte Carlo method", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 712807 (9 October 2008); https://doi.org/10.1117/12.806353

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