Please use this identifier to cite or link to this item: https://doi.org/10.21595/jve.2016.19718
Title: Republished paper. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring
Authors: Zhou, Y.-L 
Wahab, M.A
Keywords: Big data
Signal detection
Structural health monitoring
Detection algorithm
Distance measure
Effect of environments
Health monitoring
Hotelling T
Mahalanobis distances
Transmissibility
Unknown excitation
Damage detection
Issue Date: 2018
Publisher: JVE International
Citation: Zhou, Y.-L, Wahab, M.A (2018). Republished paper. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring. Journal of Vibroengineering 20 (1) : 823-831. ScholarBank@NUS Repository. https://doi.org/10.21595/jve.2016.19718
Rights: Attribution 4.0 International
Abstract: Accurate and efficient damage detection in long-term health monitoring for structures still encounters many difficulties due to the effect of environment. Furthermore, recorded big data requires efficient damage detection algorithm. In this study, an efficient and effective damage detection algorithm is proposed using transmissibility along with Mahalanobis distance and Hotelling T-square. A numerically simulated beam and an experimentally tested laboratory structure are used to validate the proposed algorithm. Results demonstrate good performance of the proposed technique in damage detection. © JVE INTERNATIONAL LTD.
Source Title: Journal of Vibroengineering
URI: https://scholarbank.nus.edu.sg/handle/10635/179051
ISSN: 13928716
DOI: 10.21595/jve.2016.19718
Rights: Attribution 4.0 International
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