Influence of Monte Carlo generations applied for modelling of measuring instruments on maximum distance error
Authors:
- Krzysztof Tomczyk
Abstract
The paper presents a study of the influence of Monte Carlo (MC) generations, applied for modelling measuring instruments, on the maximum distance error. This modelling refers to the frequency domain and is based on the weighted least-squares (WLS) method. The MC generations were produced by the four pseudo-random number generators that are directly related to a Gaussian distribution. These generators are: Basic Box-Muller, Polar Box-Muller, Monty Python and Ratio of Uniforms. Thus, the main task of this paper is an assessment of the influence of the MC generations provided by these generators on the values of error. The effect of generator selection on the model parameters and associated uncertainties was also considered. The numerical calculations were carried out for the accelerometer PCB393B05 that was chosen as being examples of measuring instruments intended for the measurement of acceleration.
- Record ID
- CUT37c5b5f2c8804b4eb17365f2e463e0ad
- Publication categories
- ;
- Author
- Journal series
- Transactions of the Institute of Measurement and Control, ISSN 0142-3312, e-ISSN 1477-0369
- Issue year
- 2018
- Vol
- 41
- No
- 1
- Pages
- 74-84
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 83-84; Oznaczenie streszczenia - Abstr.; Data udostępnienia on-line - 2018-02-26; Numeracja w czasopiśmie - Vol. 41, 1
- Keywords in English
- Monte Carlo generation, pseudo-random number generator, maximum distance error
- DOI
- DOI:10.1177/0142331217753062 Opening in a new tab
- URL
- http://journals.sagepub.com/doi/10.1177/0142331217753062 Opening in a new tab
- Related project
- Analiza wpływu wyników modelowania systemów pomiarowych na wartości maksymalnych błędów dynamicznych. . Project leader at PK: , ,
Działalność statutowa - Language
- eng (en) English
- Score (nominal)
- 20
- Publication indicators
- = 9
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT37c5b5f2c8804b4eb17365f2e463e0ad/
- URN
urn:pkr-prod:CUT37c5b5f2c8804b4eb17365f2e463e0ad
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.