131 citations · 350 across the 7 of their papers we have counts for
7 papers
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis +1
The accurate modelling of structural dynamics is crucial across numerous engineering applications, such as Structural Health Monitoring (SHM), seismic analysis, and vibration contr…
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems
Antonios Kamariotis, Eleni Chatzi, Daniel Straub +9
To maximize its value, the design, development and implementation of Structural Health Monitoring (SHM) should focus on its role in facilitating decision support. In this position…
Bayesian decision-theoretic model selection for monitored systems
Antonios Kamariotis, Eleni Chatzi
Engineers are often faced with the decision to select the most appropriate model for simulating the behavior of engineered systems, among a candidate set of models. Experimental mo…
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance
Antonios Kamariotis, Konstantinos Tatsis, Eleni Chatzi +2
Prognostic Health Management aims to predict the Remaining Useful Life (RUL) of degrading components/systems utilizing monitoring data. These RUL predictions form the basis for opt…
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…
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…
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating
Antonios Kamariotis, Eleni Chatzi, Daniel Straub
Quantifying the value of the information extracted from a structural health monitoring (SHM) system is an important step towards convincing decision makers to implement these syste…