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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 |
Appears in Collections: | Elements Staff Publications |
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