03 Monte Carlo Validation Approach for Evaluating the Uncertainty of Identical Force Intervals

Hawam, Ahmed A.; El-Deeb, Ibrahim S.; Khaled, K. M.; ElWakil, Mohamed

doi:10.21608/jmsa.2025.422909

	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, Page 23-38 PDF (962.97 K)
Document Type: Original Article
DOI: 10.21608/jmsa.2025.422909
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Authors
Ahmed A. Hawam ¹; Ibrahim S. El-Deeb¹; K. M. Khaled ²; Mohamed ElWakil ¹
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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