03 Monte Carlo Validation Approach for Evaluating the Uncertainty of Identical Force Intervals | ||
| Journal of Measurement Science and Applications (JMSA) | ||
| Volume 5, Issue 1, February 2025, Pages 23-38 PDF (962.97 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jmsa.2025.422909 | ||
| Authors | ||
| Ahmed A. Hawam1; Ibrahim S. El-Deeb1; K. M. Khaled* 2; Mohamed ElWakil1 | ||
| 11 Production Engineering and Mechanical Design Department, Faculty of Engineering, Tanta University, Tanta, Egypt, | ||
| 2Force and Material Metrology Laboratory, National Institute of Standards (NIS), Egypt | ||
| Abstract | ||
| Type A method is the GUM-adopted technique for evaluating the uncertainty of repeated observations. Unfortunately, the Type A method cannot provide any information about the dispersion of identical observations. This article introduces a reasonable approximation for the uncertainty of identical observations depending on the resolution of the limited-resolution measuring device and the number of identical observations. The proposed approach reduces the estimated uncertainty by at least 13.7% of the instrument’s resolution compared to the GUM method without sacrificing reliability. Moreover, the proposed approach is simple, straightforward, and easily implemented in daily routine work. Monte-Carlo simulation was performed to compare the proposed uncertainty statement of identical observations against the conventional Type A uncertainty of the observations indicated by finer-resolution devices. The simulation revealed that the percentage of agreement does not drop below 70% at worst according to the strictest criterion; for round-robins’ criterion, the agreement remained above 99%. | ||
| Keywords | ||
| GUM; Resolution; Uncertainty; Type A; Monte Carlo | ||
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