| Zugriffsnummer | 23014 |
| Dokumenttyp | Buchartikel |
| Sprache | Englisch |
| Titel | Modelling of measurements, system theory, and uncertainty evaluation |
| Autor(in); Institution |
Sommer, Klaus-Dieter; 3, Chemische Physik und Explosionsschutz, PTB-Braunschweig
|
| Quelle/Jahr | Data modelling for metrology and testing in measurement science:(2009), 275 - 297 |
| Herausgeber(in) |
Pavese, Franco; Istituto Nazionale di Ricerca Metrologica, Torino, ITALY
|
| ISBN | 978-0-8176-4592-2 ; 978-0-8176-4804-6 (online) |
| DOI | |
| Verlag | Boston [u.a.]: Birkhäuser |
| Freie Schlagworte | system modelling ; effect of modelling |
| Zusammenfassung | Modelling of measuring systems or processes is an indispensable prerequisite of modern uncertainty evaluation. Per se, any modelling remains imperfect; it is always reduced to relevant influences, system parameters, and behaviour. Therefore, in uncertainty evaluation, it is important to consider the effects of imperfect modelling. Derived from the classical theory of signals and systems, this contribution explains the basic approaches to systematic modelling of continuous measuring systems. The approach used is based on the cause-effect analysis and a subsequent design of the model of the measurement by means of standardised components.Emphasis is put on modelling of nonlinear and also time-variant systems and, consequently, on the effects of disregarding nonlinearities and time-variant (dynamic) behaviour. The chapter demonstrates that, based on carefully analysing and understanding the measurement, it is possible to reach proper modelling of measurements and one may sufficiently describe the relevant effects of imperfect modelling. |
