FR EN IT
  • Advanced training in evaluating measurement uncertainties
  • Learn how to apply the law of propagation of uncertainty
  • Learn how to process covariances
  • Learn how to correct systematic measurement errors
  • Learn how to use the Monte Carlo simulation

Engineers, researchers and technicians who want to learn how to evaluate and give reasons for the uncertainties in measurement and test results in complex cases.
  • Basic maths skills
  • Good understanding of how to evaluate a measurement uncertainty
  • Basic Excel skills

By the end of the course, the participant will know how to apply the GUM method (Guide to the expression of Uncertainty in Measurement) and be aware of its limitations. They will know when to use other solutions to deal with complex, unconventional issues in evaluating measurement uncertainties.
Program

Reminders

  • Reminder of basic statistics principles
  • Reminder of the guide to the expression of uncertainty in measurement (GUM: NF ISO/CEI Guide 98-3)
  • General law of propagation of uncertainty and its limitations
  • Performing an R&R
    The covariance effect
  • Practical focus on covariances
  • The concept of “HO” (high opportunity) and “LO” (low opportunity) variance
  • Correlation coefficient
  • Identifying the variance-covariance matrix (1)
    Taking account of systematic measurement errors
  • Impact on measurement uncertainty
  • Calibration signatures (guide by the Collège Français de Métrologie)
  • Correction uncertainty and residue of uncertainty in relation to a model
    Choosing the coverage factor
  • Interval confidence level
  • Student’s t-distribution
  • Half-normal distribution
    Using the numerical method
  • Random number generator
  • Law of propagation of uncertainty and analysis of measured values (mesurands) using the Monte Carlo method
    Practical training
  • Application to the real-world company cases
From 2400 € Ex. Tax On site or at our premises For a group of up to 12 people CUSTOM - Pre and post-course support and mentoring
Remote Coaching
Request a quote
From 2100 € Ex. Tax Course available in full online format Pre and post-course support and follow-up - Remote Coaching Customized
Request a quote
Contact us
Share this course
Additional training courses
MT01 Introduction to metrology
MT02 Methods for optimising calibration intervals (FD X07-014) and monitoring operations
MT03 Learn how to meet MSA requirements
Metrology - Field of Excellence
EX01 Improving the metrology department: strategy and tools
EX02 Advanced course in evaluating measurement uncertainties
EX03 Latest calibration definition taken from VIM 3: Use of M-CARE modelling software
EX04 NF ISO/CEI Guide 98-4: Client and supplier risks
IN01 Introduction to evaluating uncertainties in measurements and tests
IN02 Practical introduction to evaluating and exploiting measurement uncertainties
IN03 Evaluating measurement uncertainties using indirect measurements
IN04 Evaluating measurement uncertainties using the Monte Carlo method
ST01 Basic statistical tools used in measurement
ST02 Using applied statistics to process experimental data, measurement uncertainties and tests
ST03 Inter-laboratory comparisons and proficiency testing procedures based on NF ISO 5725 et NF ISO 13528
FP02 Extra practical course component delivered via video-conference
FP03 Setting up the drift method with Optimu
FP04 Setting up the OPPERET method
FP05 E-LEARNING CYCLE METROLOGY AND BUSINESS RESUMPTION PLAN Let’s make a fresh start!
FOP01 Measuring Instrument Management Module (MIM )
FOP02 Calibration module
FOP03 Movements module
FOP04 Uncertainty module
FOP05 Statistics module
FOP06 Administrative Management module
FOP07 Further Theory and Practice Module FD X07-014
FOP08 System settings
FOP09 Monitoring module
FOP10 Optimu.net module
  • An enjoyable way of learning how to use mathematical tools
  • Applied to real-life cases provided by the participants