A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Structural Health Monitoring Année : 2017

A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques

(1, 2, 3) , (2) , (4, 3) , (5)
1
2
3
4
5

Résumé

This paper aims at providing a framework for assessing the detection and localization per- formance of guided wave-based structural health monitoring (SHM) imaging systems. The assessment exploits a damage identification metric (DIM) providing a diagnostic of the struc- ture from an image of the scatterers generated by the system, allowing detection, localization, and size estimation of the damage. Statistical probability of detection (POD) and probability of localization (POL) curves are produced based on values of the DIM for several damage sizes and positions. Instead of relying on arduous measurements on a significant number of struc- tures instrumented in the same way, a model-based approach is considered in this paper for estimating POD and POL curves numerically. This approach is first illustrated on a simplistic model, which allows characterizing the robustness of the SHM system for various levels of noise in test signals. An experimental test case using a more realistic case with an artificial damage is then considered for validating the approach. A good agreement between experimental and numerical values of the DIM and derived POD and POL curves is observed.
Fichier principal
Vignette du fichier
Moriot_SHM_2017.pdf (680.62 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01656780 , version 1 (08-02-2018)

Identifiants

Citer

Jérémy Moriot, Nicolas Quaegebeur, Alain Le Duff, Patrice Masson. A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques. Structural Health Monitoring, 2017, ⟨10.1177/1475921717744679⟩. ⟨hal-01656780⟩
91 Consultations
334 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More