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MatroVal Calibration Software

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Correlated components measured simultaneously and processed (e.g. sigma of difference) ... Monte-Carlo simulation directly from the measurement equation. ... – PowerPoint PPT presentation

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Title: MatroVal Calibration Software


1
MatroVal A Calibration Software With Advanced
Uncertainty and Prediction Capabilities Including
Complex Numbers
Alex Lepek Newton Metrology Ltd
2
Presentation Outline
  • Calibration Procedure
  • Calibration Procedure linked to uncertainty
    analysis and prediction
  • Types of uncertainty analysis
  • Prediction of aging and instability as an
    uncertainty component

3
The Calibration Procedure Overview
The calibration procedure is a table that is read
line by line and cell by cell. Each cell Contains
a parameter or instruction. The table can be
prepared and linked automatically.
4
Calibration Procedure
5
How does it work
Read Procedure Table
Measurand Measurement System
User setup Instructions
Past calibrations of the system used for its
prediction
measure
Predefined uncertainty budget template or
equation and method
Send measurements and other data (e.g. past
calibrations) to uncertainty calculator
Certificate / Report
6
Linking cal procedure, uncertainty and prediction
a.his
7
Manual Calibration
8
Using alternative template

Compliance
Unc. Components
Result
9
Calibration results report generated by a template
10
Available uncertainty methods
  • GUM (first order Taylor expansion). Expanded
    uncertainty computation includes correlations.
    C-sensitivities may be complex numbers.
  • Simplified Monte Carlo (assuming RSS equation).
    C-sensitivities may be complex numbers.
  • Monte-Carlo simulation directly from the
    measurement equation. Equation may include
    complex numbers. Distributions and reference
    values are given in the budget table. Best
    precision of results.

11
Uncertainty budget
12
Uncertainty from measurement equation
j Imaginary unit
13
Past Calibrations used for prediction and
interval analysis
Adjustment info
14
Graphic presentation of a prediction
15
Available Prediction Methods
  • Weighted Linear Regression, takes into
    consideration both regression statistics and
    measurement uncertainties. Best for white noise
    instabilities.
  • Weighted Linear Regression of Differences.
    Advantage when instrument passes occasional
    adjustments (as received and as left). Best
    for random walk instabilities.
  • The program can chose the best method and use it.

16
Hands-on experience download MetroVal
from http//www.NewtonMetrology.com
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