WCCM-ECCOMAS 2026 — World Congress on Computational Mechanics
A week with the RSUQ Chair at WCCM-ECCOMAS 2026 (Munich), with five presentations on uncertainty quantification, reliability, resilience and computational mechanics.
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 …