131 citations · 350 across the 7 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
stat.CO2022★ 25 cited
On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration
Antonios Kamariotis, Luca Sardi, Iason Papaioannou +2
Data-informed predictive maintenance planning largely relies on stochastic deterioration models. Monitoring information can be utilized to update sequentially the knowledge on time…
stat.AP2022★ 127 cited
A framework for quantifying the value of vibration-based structural health monitoring
Antonios Kamariotis, Eleni Chatzi, Daniel Straub
The difficulty in quantifying the benefit of Structural Health Monitoring (SHM) for decision support is one of the bottlenecks to an extensive adoption of SHM on real-world structu…