Measurement Uncertainty

• Weitere Verfasser: Salicone, Simona (Herausgegeben von)
• Format: Elektronisch Buchkapitel
• Sprache: Englisch
• Veröffentlicht: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Schlagworte: Technology: general issues; History of engineering & technology; random-fuzzy variables; Kalman filter; systematic uncertainty contributions; styling; measurement uncertainty; random contribution; systematic contribution; probability density functions; possibility distributions; t-norms; measuring bridge; calibration; non-conventional instrument transformer; sampled values; digital output; synchronization; digitalization; metrological traceability; key comparison; digital calibration certificate; uncertain number; metrology; nuclear data; data evaluation; systematic distortion factor; unrecognized source of uncertainties; DCC; machine-readable; data communication; uncertainty; Monte Carlo method; MCM; guide to the expression of uncertainty in measurement; measurement modelling; uncertainty propagation; information fusion; possibility theory; information fusion system design; digital signal processing; spectral resolution; frequency domain analysis; frequency-domain interpolation; frequency uncertainty; uncertainty assessment; three-dimensional point clouds; ISO 15530; data-driven metrology; model-based definition; virtual twin; bayesian modeling; Hamiltonian Monte Carlo; diagnostic uncertainty; expert opinion data; verbal probability; n/a; Tsallis q-Gaussian distribution; characteristic function; numerical inversion; linear measurement model
• Online-Zugang: DOAB: download the publication; DOAB: description of the publication

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 compa...