Structural damage assessment through features in quefrency domain

Mechanical Systems and Signal Processing(2021)

引用 16|浏览3
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摘要
•Statistical pattern recognition identifies patterns to assess the presence of damage.•Features in quefrency domain are analytically derived from structural properties.•PCA projection increases features robustness to external distrubances.•New features are computationally advantageous compared to natural frequencies.•Proposed damage assessment strategy is tested with numerical and experimental data.
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关键词
Structural Health Monitoring,Cepstral coefficients,Quefrency domain,AutoRegressive coefficients,Principal Component Analysis,Z24 Bridge
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