Morlet-wave-based modal identification in the time domain

Ivan Tomac (Avtor), Janko Slavič (Avtor)

Povzetek

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 localization 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.

Ključne besede

Morletov valček;modalna identifikacija;modalni parametri;predoločen sistem;šum;Morlet-wave;modal identification;modal parameters;over-determination;noise;

Podatki

Jezik:	Angleški jezik
Leto izida:	2023
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL FS - Fakulteta za strojništvo
UDK:	519.677:510.643
COBISS:	144036355
ISSN:	1096-1216
Št. ogledov:	108
Št. prenosov:	23
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	Morletov valček;modalna identifikacija;modalni parametri;predoločen sistem;šum;
Vrsta dela (COBISS):	Članek v reviji
Strani:	str. 1-11
Zvezek:	ǂVol. ǂ192
Čas izdaje:	Jun. 2023
DOI:	10.1016/j.ymssp.2023.110243
ID:	18177061