Republished paper. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring
Zhou, Y.-L ; Wahab, M.A
Wahab, M.A
Citations
Altmetric:
Alternative Title
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.
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
Source Title
Journal of Vibroengineering
Publisher
JVE International
Series/Report No.
Collections
Rights
Attribution 4.0 International
Date
2018
DOI
10.21595/jve.2016.19718
Type
Article