Szczegóły publikacji
Opis bibliograficzny
Application range of a mathematical model computing distributions of random impulse excitations / Natalia FRANKOWSKA, Agnieszka OZGA // Archiwum Budowy Maszyn = The Archive of Mechanical Engineering ; ISSN 0004-0738 . — 2025 — vol. 72 no. 4, s. 671–683. — Bibliogr. s. 680-683, Abstr. — Publikacja dostępna online od: 2025-11-16
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165431 |
|---|---|
| Data dodania do BaDAP | 2026-01-15 |
| Tekst źródłowy | URL |
| DOI | 10.24425/ame.2025.156871 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Archiwum Budowy Maszyn = Archive of Mechanical Engineering |
Abstract
The paper describes the model of an oscillator with damping, whose vibrations are forced by a random series of impulses. The mathematical model of the inverse problem used to calculate the distributions can only be applied when the values of the random impulses are known. If impulse values cannot be estimated based on the vibration signal, machine learning algorithms and feature engineering should be used to determine their distribution. In the discussed paper, unsupervised machine learning (specifically, the agglomerative hierarchical clustering) is employed to evaluate the applicability of the algorithms to the problem of recognizing the magnitudes of random impulses and characterizing their distributions.
