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Communication Dans Un Congrès Année : 2014

A structural damage detection indicator based on principal component analysis and multivariate hypothesis testing over scores

Résumé

This paper is focused on the development of a damage detection indicator that combines a data driven baseline model (reference pattern obtained from the healthy structure) based on principal component analysis (PCA) and multivariate hypothesis testing. More precisely, a test for the plausibility of a value for a normal population mean vector is performed. The results indicate that the test is able to accurately clasify random samples as healthy or not.
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Dates et versions

hal-01021055 , version 1 (09-07-2014)

Identifiants

  • HAL Id : hal-01021055 , version 1

Citer

Francesc Pozo, Ignacio Arruga, Luis Eduardo Mujica. A structural damage detection indicator based on principal component analysis and multivariate hypothesis testing over scores. EWSHM - 7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France. ⟨hal-01021055⟩
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