Skip to main content
Top

2024 | OriginalPaper | Chapter

5. Conclusions and Prospects for Structural Health Monitoring

Authors : Alireza Entezami, Bahareh Behkamal, Carlo De Michele

Published in: Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this book, it has been attempted to address some major challenging issues related to long-term health monitoring of civil structures based on the technology of remote sensing and machine learning. For this reason, various unsupervised learning methods have been proposed to detect any abnormal conditions in civil structures under unknown EOCs using small and large sets of displacement responses obtained from SAR images. This chapter aims to mention the main conclusions of the proposed methods in both numerical and experimental validation stages. Due to the importance of SHM and the benefits of remote sensing, some suggestions are given to further evaluate in future research activities.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Dietterich TG (2000) Ensemble methods in machine learning. In: Multiple Classifier Systems. Springer, Berlin, pp 1–15 Dietterich TG (2000) Ensemble methods in machine learning. In: Multiple Classifier Systems. Springer, Berlin, pp 1–15
go back to reference Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets. Adv Neural Inf Process Syst 27 Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets. Adv Neural Inf Process Syst 27
go back to reference Settles B (2012) Active learning. morgan & claypool, San Rafael, California, United States Settles B (2012) Active learning. morgan & claypool, San Rafael, California, United States
Metadata
Title
Conclusions and Prospects for Structural Health Monitoring
Authors
Alireza Entezami
Bahareh Behkamal
Carlo De Michele
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-53995-4_5

Premium Partners