Bay-Fi: Approximate Bayesian main Frequency Identification for extremely undersampled signals
gen 1, 2026·,,·
Mechanical Systems and Signal Processing, 254, 114339
·
1 min di lettura
Abstract
Bay-Fi (Bayesian Frequency Identification) is a novel method for the direct identification of the dominant modal frequency from extremely under-sampled vibration signals. The approach employs an approximate Bayesian framework to optimize a curve-fitting algorithm applied to sub-Nyquist, randomly acquired measurements, enabling accurate frequency estimates without signal reconstruction or prior hyperparameter tuning.
Suggerimento
Click the Cite button above to copy .bib publication metadata into your notes.
Autori
Chiara Nardin
(she/her)
Ricercatrice postdoc MSCA all’ETH di Zurigo (Svizzera) e all’Università di Trento (Italia)
Ingegnera strutturista e borsista MSCA: mi occupo di rischio sismico, modellazione della fragilità e quantificazione dell’incertezza per sistemi industriali complessi, all’ETH di Zurigo e all’Università di Trento.
Autori
Carlo Costa
General Technical Director at Autostrada del Brennero SpA (Italy)
