Efficient uncertainty estimation of indirectly measured geometric errors of five-axis machine tools via Monte-Carlo validated GUM framework
Saeid Sepahi-Boroujeni, J.R.R. Mayer, Farbod Khameneifar
Topics & Concepts
Monte Carlo methodComputer scienceMachiningMachine toolCalibrationMeasurement uncertaintyAlgorithmUncertainty quantificationGenerator (circuit theory)Artificial intelligenceMathematical optimizationMachine learningMathematicsStatisticsEngineeringQuantum mechanicsPower (physics)Mechanical engineeringPhysicsAdvanced Measurement and Metrology TechniquesScientific Measurement and Uncertainty EvaluationAdvanced Sensor Technologies Research