Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data

DOI10.1098/RSPA.2011.0023zbMath1219.62134OpenAlexW2132006552WikidataQ109317762 ScholiaQ109317762MaRDI QIDQ5199471

Keith Worden, Elizabeth J. Cross, Qi'an Chen

Publication date: 16 August 2011

Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1098/rspa.2011.0023

zbMATH Keywords

cointegrationaugmented Dickey-Fuller testenvironmental variationsJohansen procedure

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

Related Items (1)

A data-driven force-thermal coupling load identification method considering multi-source uncertainties of structural characteristics and measuring noises

Cites Work

• Quantification of the spatial aspect of chaotic dynamics in biological and chemical systems

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