Indian Journal of Engineering & Materials Sciences

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Comprehensive Exordium of Monte Carlo Simulation Technique : An Alternative Approach for Measurement Uncertainty Evaluation


Affiliations
1 Academy of Scientific and Innovative Research, Ghaziabad 201 002, India
2 National Institute of Technology, Delhi 110 036, India
 

Precise and accurate measurements are essential for reliable experimental investigations and establishments of immaculate scientific theories. It has been realized that the measurement observations are always accompanied by certain reservations, hence to provide quality measurements, systematic assessment of these uncertainties is of much significance. This article attempts to demonstrate the detailed procedure for measurement uncertainty evaluation using Monte Carlo Simulation (MCS) technique as per the recommendations of JCGM 101: 2008 using Microsoft Excel. Interestingly, it has been perceived that the expanded uncertainty values and histograms acquired using Law of Propagation of Uncertainties (LPU) and Monte Carlo Simulation (MCS) are distinctive.

Keywords

Metrology, Measurement, Uncertainty, Law of Propagation of Uncertainties, Probability Distribution Function, Monte Carlo Simulation, Random Number Generation.
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  • Comprehensive Exordium of Monte Carlo Simulation Technique : An Alternative Approach for Measurement Uncertainty Evaluation

Abstract Views: 162  |  PDF Views: 123

Authors

Girija Moona
Academy of Scientific and Innovative Research, Ghaziabad 201 002, India
Harish Kumar
National Institute of Technology, Delhi 110 036, India

Abstract


Precise and accurate measurements are essential for reliable experimental investigations and establishments of immaculate scientific theories. It has been realized that the measurement observations are always accompanied by certain reservations, hence to provide quality measurements, systematic assessment of these uncertainties is of much significance. This article attempts to demonstrate the detailed procedure for measurement uncertainty evaluation using Monte Carlo Simulation (MCS) technique as per the recommendations of JCGM 101: 2008 using Microsoft Excel. Interestingly, it has been perceived that the expanded uncertainty values and histograms acquired using Law of Propagation of Uncertainties (LPU) and Monte Carlo Simulation (MCS) are distinctive.

Keywords


Metrology, Measurement, Uncertainty, Law of Propagation of Uncertainties, Probability Distribution Function, Monte Carlo Simulation, Random Number Generation.

References