Structural Damage Detection Algorithm Based on Principal Component Indexes and Embedded on a Real Time Platform - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Structural Damage Detection Algorithm Based on Principal Component Indexes and Embedded on a Real Time Platform

Abstract

This paper presents the main results obtained by using a structural damage detection algorithm based on Principal Component Analysis (PCA) and piezo-actuation principle. A known high frequency piezoactuated signal is applied on an analyzed structure in order to determine the base-line performance for the undamaged state (undamaged PCA model). Q-statistic and hottelingÕs T2 indexes are computed by projecting time data onto the principal component space, and used to identify deviations of the current dynamical responses respect to the undamaged state. The algorithm was embedded in the Beaglebone Black Hardware (platform based on an ARM cortex A8 processor) and tested by using experimental data supplied by the CODALAB group. The obtained results indicate that it is possible to identify and locate structural faults for this kind of structures. Identification capability of the algorithm for 10 damages is tested by adding masses on the surface of an aircraft turbine blade at different positions.
Fichier principal
Vignette du fichier
0324.pdf (364.79 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01021053 , version 1 (09-07-2014)

Identifiers

  • HAL Id : hal-01021053 , version 1

Cite

Rodolfo Villamizar, John Leonardo Quiroga, Jhonatan Camacho, Luis E. Mujica, Magda L. Ruiz. Structural Damage Detection Algorithm Based on Principal Component Indexes and Embedded on a Real Time Platform. EWSHM - 7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France. ⟨hal-01021053⟩
909 View
1208 Download

Share

Gmail Facebook Twitter LinkedIn More