Intelligent automatic operational modal analysis-Reference-Cited by-同舟云学术

Intelligent automatic operational modal analysis

Published:2023-10 Issue: Volume:201 Page:110669
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Rosso Marco Martino^ORCID,Aloisio Angelo^ORCID,Parol Jafarali,Marano Giuseppe Carlo^ORCID,Quaranta Giuseppe^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference68 articles.

1. Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection;Magalhães;Mech. Syst. Signal Process.,2012

2. Automatic modal identification of bridges based on free vibration response and variational mode decomposition technique;Mazzeo;Eng. Struct.,2023

3. Operational Modal Analysis of Civil Engineering Structures, Vol. 142;Rainieri,2014

4. PyOMA and PyOMA_GUI: A Python module and software for operational modal analysis;Pasca;SoftwareX,2022

5. Fuzzy clustering of stability diagrams for vibration-based structural health monitoring;Carden;Comput.-Aided Civ. Infrastruct. Eng.,2008

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