@misc{10481/85139,
year = {2022},
month = {11},
url = {https://hdl.handle.net/10481/85139},
abstract = {Sensing is the cornerstone of any functional structural health monitoring technology, with sensor number and placement being a key aspect for reliable monitoring. We introduce for the first time a robust methodology for optimal sensor configuration based on the value of information that accounts for (1) uncertainties from updatable and nonupdatable parameters, (2) variability of the objective function with respect to nonupdatable parameters, and (3) the spatial correlation between sensors. The optimal sensor configuration is obtained by maximizing the expected value of information, which leads to a cost-benefit analysis that entails model parameter uncertainties. The proposed methodology is demonstrated on an application of structural health monitoring in plate-like structures using ultrasonic guided waves. We show that accounting for uncertainties is critical for an accurate diagnosis of damage. Furthermore, we provide critical assessment of the role of both the effect of modeling and measurement uncertainties and the optimization algorithm on the resulting sensor placement. The results on the health monitoring of an aluminum plate indicate the effectiveness and efficiency of the proposed methodology in discovering optimal sensor configurations.},
organization = {European Union's Horizon 2020 Research and Innovation Programme  721455},
organization = {Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)
	314168/2020-6},
publisher = {Wiley},
keywords = {Guided waves},
keywords = {Optimal sensor configuration},
keywords = {Prediction model error},
keywords = {Robust optimization},
keywords = {Structural health monitoring},
keywords = {Value of information},
title = {Robust optimal sensor configuration using the value of information},
doi = {10.1002/stc.3143},
author = {Cantero Chinchilla, Sergio and Chiachío Ruano, Juan and Chiachío Ruano, Manuel},
}