• English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • español 
    • English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • Login
Ver ítem 
  •   DSpace Principal
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Ver ítem
  •   DSpace Principal
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.
Todo DSpace
  • Comunidades & Colecciones
  • Por fecha de publicación
  • Autores
  • Títulos
  • Materias

Robust optimal sensor placement for response reconstruction using output-only vibration measurements

Thumbnail
Autor
Ercan T., Sedehi O., Papadimitriou C., Katafygiotis L.S.
Fecha
2020
Language
en
DOI
10.3850/978-981-11-0745-01021-cd
Materia
Cost effectiveness
Deterioration
Forecasting
Optimization
Reliability
Vibration measurement
Model-based prediction
Optimal sensor placement
Parameter uncertainty
Quantities of interests
Response reconstruction
Structural component
Structural deterioration
Structural reliability
Uncertainty analysis
Research Publishing Services
Mostrar el registro completo del ítem
Resumen
Vibration measurements taken from various locations in a structure are used to improve models and model-based predictions of output quantities of interest (QoI). Such improved models and predictions can be used to update the state of the structure, estimate model and parameter uncertainties, trace structural deterioration over time, update structural reliability and safety, prognose the remaining lifetime of structural components (e.g. fatigue lifetime) and eventually design cost-effective maintenance actions. Since measurements are affected by errors and limited in number, placement of the sensors is a crucial problem. In this study, the problem of response reconstruction in structures using output-only vibration measurements is investigated. A filtering technique for joint input-state estimation is used to obtain estimates of response quantities of interests and the covariance of the errors in these predictions. A robust optimal sensor placement framework is then presented to be able to obtain most reliable responses considering uncertainty in the model parameters. Copyright © 2019 European Safety and Reliability Association.
URI
http://hdl.handle.net/11615/71410
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
htmlmap 

 

Listar

Todo DSpaceComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasEsta colecciónPor fecha de publicaciónAutoresTítulosMaterias

Mi cuenta

AccederRegistro
Help Contact
DepositionAboutHelpContacto
Choose LanguageTodo DSpace
EnglishΕλληνικά
htmlmap