0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Efficient data-driven nonlinear system identification for structural health monitoring: A proof-of-principle study

Author(s): ORCID (Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI, USA)
(School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
ORCID (School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
ORCID (School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering
DOI: 10.1177/13694332241281529
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/13694332241281529.
  • About this
    data sheet
  • Reference-ID
    10802134
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine