A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques
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.
Origine : Fichiers produits par l'(les) auteur(s)
Loading...