With the increased use of composites in aircraft, many new successful contributions to the
advancement of the structural health monitoring (SHM) field for composite aerospace …

Abstract Machine learning (ML) methods for the structural health monitoring (SHM) of
composite structures rely on sufficient domain knowledge as they typically demand to extract …

In the highly corrosive environment where marine structures operate, the current industry
practice is to overcompensate for corrosion induced thickness loss (CITL) and replace any …

This paper proposes an approach for anomaly/damage detection via structural health
monitoring (SHM) systems based on a Binomial Distribution Classifier (BDC). The approach …

Damage localization based on ambient vibration data in combination with finite element
models can be challenging, in particular due to the large number of parameters in the model …

In this study, a multi-level Structural Health Monitoring methodology for stiffened composite
panels is introduced. A digital twin (DT), that is, a three-dimensional finite element (FE) …

This study conducted experimental and numerical investigations on piezoelectric wafer
active sensors (PWASs) bonded to an aluminum plate to assess the impact of bonding …

Despite the promising application of Distributed Optical Fiber Sensors (DOFS) in monitoring
damage in composite structures, their implementation outside academia is still …

The traditional probability of detection (POD) method, as described in the Department of
Defense Handbook MIL-HDBK-1823A for nondestructive evaluation systems, does not take …

This paper develops a model-assisted approach for determining predictive probability of
detection curves. The approach is “model-assisted,” as the damage-sensitive features are …