Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

Measurement Uncertainty Evaluation using Monte Carlo Method based on LabVIEW

Authors
Shilin Wu, Yuanqing Li, Sui Fang
Corresponding Author
Shilin Wu
Available Online August 2015.
DOI
10.2991/ic3me-15.2015.223How to use a DOI?
Keywords
measurement uncertainty, Monte Carlo method, LabVIEW, sample of input quantity
Abstract

Monte Carlo method (MCM) for evaluation of measurement uncertainty is a beneficial supplement to the “Guide to the expression of uncertainty in measurement” (GUM). This paper introduces the method and the steps of measurement uncertainty evaluation by MCM based on LabVIEW, and an example is given out to validate the effect of measurement uncertainty evaluation by Monte Carlo method.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
10.2991/ic3me-15.2015.223
ISSN
2352-5401
DOI
10.2991/ic3me-15.2015.223How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shilin Wu
AU  - Yuanqing Li
AU  - Sui Fang
PY  - 2015/08
DA  - 2015/08
TI  - Measurement Uncertainty Evaluation using Monte Carlo Method based on LabVIEW
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1151
EP  - 1157
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.223
DO  - 10.2991/ic3me-15.2015.223
ID  - Wu2015/08
ER  -