دورية أكاديمية
Robust optimal sensor configuration using the value of information
| العنوان: | Robust optimal sensor configuration using the value of information |
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| المؤلفون: | Cantero-Chinchilla S., Papadimitriou C., Chiachío J., Chiachío M., Koumoutsakos P., Fabro A.T., Chronopoulos D. |
| المصدر: | Structural Control and Health Monitoring ; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142180759&doi=10.1002%2fstc.3143&partnerID=40&md5=bad26313872d2dc3ea37e6b1f46d74e7Test |
| سنة النشر: | 2022 |
| المجموعة: | University of Thessaly Institutional Repository / Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας |
| مصطلحات موضوعية: | Cost benefit analysis, Guided electromagnetic wave propagation, Plates (structural components), Structural dynamics, Structural optimization, Uncertainty analysis, Health monitoring, Model errors, Optimal sensor, Optimal sensor configuration, Prediction model error, Prediction modelling, Robust optimization, Sensor configurations, Uncertainty, Value of information, Structural health monitoring, John Wiley and Sons Ltd |
| الوصف: | 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. © 2022 The Authors. Structural Control and Health Monitoring published by John Wiley & Sons Ltd. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 15452255 |
| العلاقة: | http://hdl.handle.net/11615/72249Test |
| DOI: | 10.1002/stc.3143 |
| الإتاحة: | https://doi.org/10.1002/stc.3143Test http://hdl.handle.net/11615/72249Test |
| رقم الانضمام: | edsbas.8705C302 |
| قاعدة البيانات: | BASE |
| تدمد: | 15452255 |
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| DOI: | 10.1002/stc.3143 |