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Pregled bibliografske jedinice broj: 1258493

Morlet-wave-based modal identification in the time domain


Tomac, Ivan; Slavič, Janko
Morlet-wave-based modal identification in the time domain // Mechanical systems and signal processing, 192 (2023), C; 110243, 11 doi:10.1016/j.ymssp.2023.110243 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1258493 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Morlet-wave-based modal identification in the time domain

Autori
Tomac, Ivan ; Slavič, Janko

Izvornik
Mechanical systems and signal processing (0888-3270) 192 (2023), C; 110243, 11

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Morlet-wave ; modal identification ; modal parameters ; over-determination ; noise

Sažetak
This research focuses on the time- domain identification of modal parameters using impact response excitation from signals with a relatively small dynamic range and high noise contamination (e.g., from high-speed cameras). The information required to identify the modal parameters is limited and is contained mostly at the beginning of the signal. In order to perform an identification from such a response, the following challenges have to be overcome: a good frequency- domain separation (for close modes), a good localisation in the time domain and an over- determination (to reduce uncertainty). To overcome these challenges this research introduces the Morlet-wave modal identification method as an extension of the Morlet-wave damping identification method, which has already proven capable of identifying the damping of short signals. Here, the method is extended to the modal parameters and an over-determination approach is proposed to reduce the uncertainty. The method identifies each mode shape separately from 10 to a maximum of 400 oscillations and at damping levels from 0.02% to 2% with a strong presence of noise in the signal. The method is tested on an experimental example and the results are compared to the classical modal identification methodology.

Izvorni jezik
Engleski

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



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Ivan Tomac (autor)

Poveznice na cjeloviti tekst rada:

doi authors.elsevier.com

Citiraj ovu publikaciju:

Tomac, Ivan; Slavič, Janko
Morlet-wave-based modal identification in the time domain // Mechanical systems and signal processing, 192 (2023), C; 110243, 11 doi:10.1016/j.ymssp.2023.110243 (međunarodna recenzija, članak, znanstveni)
Tomac, I. & Slavič, J. (2023) Morlet-wave-based modal identification in the time domain. Mechanical systems and signal processing, 192 (C), 110243, 11 doi:10.1016/j.ymssp.2023.110243.
@article{article, author = {Tomac, Ivan and Slavi\v{c}, Janko}, year = {2023}, pages = {11}, DOI = {10.1016/j.ymssp.2023.110243}, chapter = {110243}, keywords = {Morlet-wave, modal identification, modal parameters, over-determination, noise}, journal = {Mechanical systems and signal processing}, doi = {10.1016/j.ymssp.2023.110243}, volume = {192}, number = {C}, issn = {0888-3270}, title = {Morlet-wave-based modal identification in the time domain}, keyword = {Morlet-wave, modal identification, modal parameters, over-determination, noise}, chapternumber = {110243} }
@article{article, author = {Tomac, Ivan and Slavi\v{c}, Janko}, year = {2023}, pages = {11}, DOI = {10.1016/j.ymssp.2023.110243}, chapter = {110243}, keywords = {Morlet-wave, modal identification, modal parameters, over-determination, noise}, journal = {Mechanical systems and signal processing}, doi = {10.1016/j.ymssp.2023.110243}, volume = {192}, number = {C}, issn = {0888-3270}, title = {Morlet-wave-based modal identification in the time domain}, keyword = {Morlet-wave, modal identification, modal parameters, over-determination, noise}, chapternumber = {110243} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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