WCCM-ECCOMAS 2026 — World Congress on Computational Mechanics
Eine Woche mit dem RSUQ-Lehrstuhl auf dem WCCM-ECCOMAS 2026 in München, mit fünf Vorträgen zu Unsicherheitsquantifizierung, Zuverlässigkeit, Resilienz und numerischer Mechanik.
Bay-Fi: Approximate Bayesian main Frequency Identification for extremely undersampled signals
Bay-Fi is an approximate Bayesian method for direct modal frequency identification from extremely under-sampled signals, requiring no signal reconstruction or prior tuning.
Bayesian Approach for Main Frequency Identification on Extremely Under-Sampled Signals
Bay-Fi enables direct modal frequency identification from extremely under-sampled vibration signals using a Bayesian curve-fitting framework, bypassing signal reconstruction and …