- Tytuł:
- Application of unsupervised learning algorithms for analysis the vibrations of an oscillator forced by a random series of impulses
- Autorzy:
-
Ozga, Agnieszka
Sulewski, Marek - Powiązania:
- https://bibliotekanauki.pl/articles/24201982.pdf
- Data publikacji:
- 2023
- Wydawca:
- Politechnika Poznańska. Instytut Mechaniki Stosowanej
- Tematy:
-
machine learning
stochastic series of impulses
unsupervised machine learning
hierarchical clustering
uczenie maszynowe
losowa seria impulsów
uczenie nienadzorowane
grupowanie hierarchiczne - Opis:
- Paper discusses a mathematical model describing the vibrations of a linear oscillator forced by a random series of impulses. The study aims at checking how precisely the distributions of values of the impulses forcing the vibrations of an oscillator can be differentiated. The analysis was carried out in the MatLab environment with the use of hierarchical clustering algorithms of unsupervised machine learning, for samples generated from computer simulation. The time series are non-stationary. The studies showed that high precision could be achieved in distinguishing two very similar distributions forcing the vibrations, on the basis of an analysis of the two first moments calculated from the movement.
- Źródło:
-
Vibrations in Physical Systems; 2023, 34, 1; art. no. 2023121
0860-6897 - Pojawia się w:
- Vibrations in Physical Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł