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Vibration-based detection and classification of structural changes using principal component analysis and t-distributed stochastic neighbor embedding

Author
Agis, D.; Tibaduiza, Diego Alexander; Pozo, F.
Type of activity
Journal article
Journal
Structural control and health monitoring
Date of publication
2020-03-05
Volume
27
Number
6
First page
2533:1
Last page
2533:19
DOI
10.1002/stc.2533
Project funding
2017 SGR 388: Control, Modelització, Identificació i Aplicacions (CoDAlab)
DPI2017-82930-C2-1-R DESARROLLO Y VALIDACION DE SISTEMAS DE MONITORIZACION INTELIGENTE, ESTRATEGIAS DE CONTROL DEL PITCH Y DE AMORTIGUACION ESTRUCTURAL PARA AEROGENERADORES OFFSHOREFLOTANTES
Repository
http://hdl.handle.net/2117/183436 Open in new window
URL
https://onlinelibrary.wiley.com/journal/15452263 Open in new window
Abstract
This paper describes a structural health monitoring strategy to detect and classify structural changes in structures that can be equipped with sensors. The proposed approach is based on the t-distributed stochastic neighbor embedding (t-SNE), a nonlinear technique that can represent the local structure of high-dimensional data collected from multiple sensors in a plane or spatial representation. We propose the following basic steps for the detection and classification. First, the raw data are pr...
Citation
Agis, D.; Tibaduiza, D. A.; Pozo, F. Vibration-based detection and classification of structural changes using principal component analysis and t-distributed stochastic neighbor embedding. "Structural control and health monitoring", 5 Març 2020, vol. 27, núm. 6, p. 2533:1-2533:19.
Keywords
Classification, Detection, Principal component analysis (PCA), Structural changes, Structural health monitoring (SHM), t-distributed stochastic neighbor embedding (t-SNE)
Group of research
CoDAlab - Control, Dynamics and Applications

Participants

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