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Research interests
Lizzy’s main research interests span the fields of structural health monitoring (SHM), machine learning and nonlinear system identification. Most of her research projects focus on the analysis of large datasets from monitored structures, where she employs data-driven algorithms to extract useful information.
For SHM, these efforts attempt to address the problem of confounding influences - where benign changes in the measurements of structural parameters caused by the environment mask the detectability of damage.
研究兴趣
论文共 173 篇作者统计合作学者相似作者
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2024): 110958
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNALno. 5 (2023): 3065-3076
Procedia CIRP (2023): 347-352
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Computational methods in engineering & the sciencespp.121-147, (2023)
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Conference proceedings of the Society for Experimental Mechanicspp.51-70, (2023)
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Sensorsno. 14 (2023): 6328-6328
European Workshop on Structural Health Monitoringpp.965-974, (2022)
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