A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics
Reference51 articles.
1. Recent progress and future trends on damage identification methods for bridge structures;An;Struct. Control. Health Monit.,2019
2. Review on the new development of vibration-based damage identification for civil engineering structures: 2010-2019;Hou;J. Sound Vib.,2021
3. Structural health monitoring research under varying temperature condition: a review;Han;J. Civ. Struct. Health Monit.,2021
4. Sparse Bayesian learning for structural damage detection under varying temperature conditions;Hou;Mech. Syst. Signal Process.,2020
5. Prediction error of Johansen cointegration residuals for structural health monitoring;Mousavi;Mech. Syst. Signal Process.,2021
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