A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision

Author:

Hurtado A. CalderonORCID,Alamdari M. MakkiORCID,Atroshchenko E.ORCID,Chang K.C.ORCID,Kim C.W.ORCID

Funder

Japan Society for the Promotion of Science

Australian Research Council

Publisher

Elsevier BV

Reference81 articles.

1. Bridge Engineering: Classifications, Design Loading, and Analysis Methods;Lin,2017

2. Structural health monitoring based on vehicle-bridge interaction: Accomplishments and challenges;Zhu;Adv. Struct. Eng.,2015

3. Structural Health Monitoring Systems;Andersen,2006

4. Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection;Sun;J. Struct. Eng.,2020

5. Indirect health monitoring of bridges using Mel-frequency cepstral coefficients and principal component analysis;Mei;Mech. Syst. Signal Process.,2019

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