Actions for Measurement Uncertainty
Measurement Uncertainty
- Published
- Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
- Physical Description
- 1 online resource (202 p.)
Access Online
- directory.doabooks.org , Open Access: DOAB: description of the publication
- mdpi.com , Open Access: DOAB, download the publication
- Language Note
- English
- Restrictions on Access
- Open Access Unrestricted online access
- Summary
- This reprint focuses on a very important topic in metrology, which is represent by measurement uncertainty. Any good metrologist or scientist in engineering knows that no measurement makes sense without an associated uncertainty value: without an uncertainty value, no decision can be taken; no comparisons can be made; no conformity can be assessed. Any decision, comparison or conformity assessment made without considering the measurement uncertainty affecting the measurement value is completely useless and meaningless. Stated that, it becomes very clear that uncertainty in measurement plays indeed a very important rule in our everyday life. This is the reason why there is a great need to have a fruitful academic and scientific discussion on this topic. We have been speaking about measurement uncertainty for less than 30 years, since the concept of "measurement uncertainty" has been introduced in 1995 by the "Guide to the expression of uncertainty in measurement" (GUM). Thirty years seems to be many, but still the concept of measurement uncertainty has not been spread worldwide and the GUM is a document that is not known everywhere. On the other hand, this document should be considered not only in academic scenario, but also in any technical and industrial scenario, where it is pivotal to know the meaning of measurement uncertainty, identify the uncertainty contributions and know how these contributions affect the final measurement result.
- Subject(s)
- Other Subject(s)
- bayesian modeling
- calibration
- characteristic function
- data communication
- data evaluation
- data-driven metrology
- DCC
- diagnostic uncertainty
- digital calibration certificate
- digital output
- digital signal processing
- digitalization
- expert opinion data
- frequency domain analysis
- frequency uncertainty
- frequency-domain interpolation
- guide to the expression of uncertainty in measurement
- Hamiltonian Monte Carlo
- information fusion
- information fusion system design
- ISO 15530
- Kalman filter
- key comparison
- linear measurement model
- machine-readable
- MCM
- measurement modelling
- measurement uncertainty
- measuring bridge
- metrological traceability
- metrology
- model-based definition
- Monte Carlo method
- n/a
- non-conventional instrument transformer
- nuclear data
- numerical inversion
- possibility distributions
- possibility theory
- probability density functions
- random contribution
- random-fuzzy variables
- sampled values
- spectral resolution
- styling
- synchronization
- systematic contribution
- systematic distortion factor
- systematic uncertainty contributions
- t-norms
- three-dimensional point clouds
- Tsallis q-Gaussian distribution
- uncertain number
- uncertainty
- uncertainty assessment
- uncertainty propagation
- unrecognized source of uncertainties
- verbal probability
- virtual twin
- ISBN
- 9783036566085
9783036566092
books978-3-0365-6609-2 - Collection
- DOAB Library.
- Terms of Use and Reproduction
- Creative Commons https://creativecommons.org/licenses/by/4.0/
View MARC record | catkey: 43681535