Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Robust optimal sensor configuration using the value of information
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.
Robust optimal sensor configuration using the value of information
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.
Robust optimal sensor configuration using the value of information
Cantero‐Chinchilla, Sergio (Autor:in) / Papadimitriou, Costas (Autor:in) / Chiachío, Juan (Autor:in) / Chiachío, Manuel (Autor:in) / Koumoutsakos, Petros (Autor:in) / Fabro, Adriano T. (Autor:in) / Chronopoulos, Dimitrios (Autor:in)
01.12.2022
21 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimal sensor configuration for complex systems
| Tema Archiv | 1998
Optimal Sensor Configuration Methodology for Structural Identification
| British Library Conference Proceedings | 2002
Optimal Sensor Configuration for Bridge Structures Following a Probabilistic Approach
| British Library Conference Proceedings | 2012