Naslov
MorletWaveModal: Python package for modal identification using Morlet-wave integral

Autori
Tomac, Ivan ; Slavič, Janko

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
OpenSD 2023 – Proceedings / Slavič, Janko ; Česnik, Martin - Ljubljana : University of Ljubljana, Faculty of mechanical engineering, Askerčeva 6, 1000 Ljubljana, Slovenia, 2023, 134-138

ISBN
978-961-7187-00-7

Skup
Open-source Scientific Computing in Structural Dynamics

Mjesto i datum
Ljubljana, Slovenija, 26.06.2023. - 27.06.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
python package, open source, modal identification, Morlet-wave

Sažetak
This research deals with the identification of modal parameters from short and noisy signals. The identification is done using the free response signals where the high frequency modes suffer more from the influence of noise, which is even more evident when the displacement signal is used. To overcome these challenges, a method based on the Morlet wave integral was developed to identify the modal parameters. The method is based on the continuous wavelet transform method, from which it inherits all the advantages in terms of time- frequency separation, but does not suffer from the edge effect and is much faster. The method is implemented in the form of the Python package, named Morlet-Wave Modal, designed as an object- oriented and it is easy to use. For the basic use a free response signal and the initial natural frequency are required to identify modal parameters. The basics of the Morlet wave modal method are presented.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Strojarstvo, Zrakoplovstvo, raketna i svemirska tehnika

POVEZANOST RADA