Application of unsupervised learning algorithms for analysis the vibrations of an oscillator forced by a random series of impulses

• Autorzy: Ozga Agnieszka , Sulewski Marek

Identyfikatory

DOI

10.21008/j.0860-6897.2023.1.21

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

machine learning; stochastic series of impulses; unsupervised machine learning; hierarchical clustering

PL

uczenie maszynowe; losowa seria impulsów; uczenie nienadzorowane; grupowanie hierarchiczne

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2023
• Tom: Vol. 34, nr 1
• Strony: art. no. 2023121
• Opis fizyczny: Bibliogr. 20 poz., wykr.

Twórcy

autor

Ozga Agnieszka

• AGH University of Science and Technology, Department of Mechanic Engineering and Robotics, Mickiewicza Av. 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0001-8032-0677

autor

Sulewski Marek

• AGH University of Science and Technology, Department of Mechanic Engineering and Robotics, Mickiewicza Av. 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0001-5079-1603

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).