Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel (2022)
Attributed to:
Towards CyberSHM: autonomous acousto-ultrasonic health monitoring of operational composite structures
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.compositesb.2021.109450
Publication URI: http://dx.doi.org/10.1016/j.compositesb.2021.109450
Type: Journal Article/Review
Parent Publication: Composites Part B: Engineering