Bay-Fi: Approximate Bayesian main Frequency Identification for extremely undersampled signals
Jan. 1, 2026·,,·
Mechanical Systems and Signal Processing, 254, 114339
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1 Min Lesezeit
Zusammenfassung
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.
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Autoren
Chiara Nardin
(she/her)
MSCA-Postdoktorandin an der ETH Zürich (Schweiz) und der Universität Trient (Italien)
Bauingenieurin und MSCA-Fellow. Ich forsche zu Erdbebenrisiko, Fragilitätsmodellierung und Unsicherheitsquantifizierung für komplexe Industrieanlagen an der ETH Zürich und der Universität Trient.
Autoren
Carlo Costa
General Technical Director at Autostrada del Brennero SpA (Italy)
