Principal component analysis for structural damage detection

Version 1.0.0.0 (4.38 KB) by Jhonatan Camacho
Implementation of PCA base line models for structural damage detection.
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Updated 10 Nov 2014

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A detailed description of the procedure and applications can be found in papers:
https://hal.inria.fr/hal-01021053/

https://hal.inria.fr/file/index/docid/1021053/filename/0324.pdf
Rodolfo Villamizar, Oscar Eduardo Perez, Jhonatan Camacho Navarro. Automatic Tuning
of a Pipeline Faults Detection Algorithm. Le Cam, Vincent and Mevel, Laurent and Schoefs,
Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes,
France. <hal-01021235>

Method is highly sensible to the feature normalization method.

Cite As

Jhonatan Camacho (2024). Principal component analysis for structural damage detection (https://www.mathworks.com/matlabcentral/fileexchange/48410-principal-component-analysis-for-structural-damage-detection), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
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Version Published Release Notes
1.0.0.0