20.500.12556/RUL-144640 Morlet-wave-based modal identification in the time domain 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. Morlet-wave modal identification modal parameters over-determination noise Morletov valček modalna identifikacija modalni parametri predoločen sistem šum true false true Angleški jezik Slovenski jezik Članek v reviji 2023-03-06 07:52:18 2023-03-06 07:52:24 2023-10-13 03:40:58 0000-00-00 00:00:00 2023 0 0 11 str. Vol. 192, art. 110243 Jun. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.677:510.643 1096-1216 10.1016/j.ymssp.2023.110243 144036355 Tomac,_Slavic_-_Morlet-wave-based_modal_identification_in_the_time_domain.pdf Tomac,_Slavic_-_Morlet-wave-based_modal_identification_in_the_time_domain.pdf 1 E464888022E7543CAE5090E487B113B1 c803549e9d482f031f0de4dbe43213527c5163cc178d25814f3f6c12031cca55 fb18bfd2-bbeb-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=167076 https://www.sciencedirect.com/science/article/pii/S0888327023001504 1 6c227bb0-bbeb-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=167075 Fakulteta za strojništvo 0 0 0