Hybrid digital twin for reliable sensing frameworks in aerospace structural health monitoring
File(s)
Accepted version
Author(s)
Ariyaratnam, Shapeetha
Ermacora, Mirko
Di Fiore, Francesco
Mainini, Laura
Type
Conference Paper
Abstract
Modern aerospace SHM systems depend on dense sensor networks to safeguard structural integrity in flight, but their reliability is threatened by sensor faults that can mislead safety-critical diagnostics. This work proposes HyRelM, a hybrid physics- and data-driven sensing digital twin designed to ensure reliable information flow to the SHM logic. The twin performs automated classification of structural and sensing states, reconstructs corrupted measurements, and quantifies sensor reliability in real time, enabling accurate fault isolation and data correction. Demonstrated on a composite wing panel with fiber-cut damage, HyRelM successfully distinguished structural and sensing anomalies, updated corrupted measurements, and restored sensor reliability, confirming the potential of sensing digital twins to deliver resilient SHM for safer aircraft.
Date Acceptance
2025-09-30
Publisher
Materials Research Forum LLC
Copyright Statement
Subject to copyright. This paper is embargoed until publication.
Source
10th CEAS Aerospace Europe Conference and 28th AIDAA International Congress
Publication Status
Accepted
Start Date
2025-12-01
Finish Date
2025-12-04
Coverage Spatial
Turin, Italy