<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Determination of realistic uncertainty values in coordinate metrology is a challenging task due to the complexity of the implementation of numerical algorithms involved. Monte-Carlo error propagation is used to estimate the uncertainty of a position tolerance using least-squares criterion. In this paper all the required steps are sequentially performed using a number real-world datasets. Since no reference data sets are available for position tolerance evaluation hence drawings and numerical values of such data sets are proposed.</p></abstract>

Determination of realistic uncertainty values in coordinate metrology is a challenging task due to the complexity of the implementation of numerical algorithms involved. Monte-Carlo error propagation is used to estimate the uncertainty of a position tolerance using least-squares criterion. In this paper all the required steps are sequentially performed using a number real-world datasets. Since no reference data sets are available for position tolerance evaluation hence drawings and numerical values of such data sets are proposed.

Practical Procedure for Position Tolerance Uncertainty Determination via Monte-Carlo Error Propagation

Faculty of Technology, Saint-Petersburg Institute of Mechanical-Engineering, Saint-Petersburg, Russia 195197

Faculty of Applied Mathematics and Control Processes, Saint-Petersburg State University, Saint-Petersburg, Russia 198504

Measurement Science Review

Determination of realistic uncertainty values in coordinate metrology is a challenging task due to the complexity of the implementation of numerical algorithms...

Practical Procedure for Position Tolerance Uncertainty Determination via Monte-Carlo Error Propagation

Publié en ligne: 01 mars 2012

Pages: 1 - 7

DOI: https://doi.org/10.2478/v10048-012-0001-1

Mots clés
Uncertainty evaluation, propagation of distributions, Monte-Carlo simulation, position tolerance

This content is open access.

Practical Procedure for Position Tolerance Uncertainty Determination via Monte-Carlo Error Propagation

Publié en ligne: 01 mars 2012

Pages: 1 - 7

DOI: https://doi.org/10.2478/v10048-012-0001-1

Mots clésUncertainty evaluation, propagation of distributions, Monte-Carlo simulation, position tolerance

This content is open access.

Mots clés
Uncertainty evaluation, propagation of distributions, Monte-Carlo simulation, position tolerance