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Data fusion for the efficient NDT of challenging aerospace structures: a review

Jacob, Geo and Raddatz, Florian (2022) Data fusion for the efficient NDT of challenging aerospace structures: a review. SPIE Smart Structures + Nondestructive Evaluation, 6- 9 March 2022, Long Beach, California. doi: 10.1117/12.2612357. ISSN 120490C.

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Official URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12049/120490C/Data-fusion-for-the-efficient-NDT-of-challenging-aerospace-structures/10.1117/12.2612357.full

Abstract

High performance multifunctional structural components and other system components are evolving for applications in the aerospace industry. The efficient operation and reliability of these structures must be ensured by suitable means for inspection and maintenance. However, inspection on complex structural elements via traditional non-destructive testing (NDT) methods presents challenges for the accurate detection and characterization of flaws. The combination of NDT methods offers considerable advantages over existing NDT technologies and ensures not only accuracy in the inspection, but also another perspective on flaws which otherwise would not have been identified. Large sets of data are generated through these inspections and require robust data fusion technologies for visualisation and interpretation. Emerging technologies such as artificial intelligence, internet of things and automation direct towards the new paradigms NDT 4.0 and digital twin. The measurement data for assessing the health and faulty conditions of the structure using integrated sensors and NDT methods can be represented in a digital replication of the structure called the digital twin. Technologies such as drones, augmented reality and remote NDT can help to improve the efficiency of inspections. Therefore, this review represents current technologies and concepts for NDT 4.0 and the digital twin concepts which are suitable to save time, optimize processes and maintenance costs.

Item URL in elib:https://elib.dlr.de/148622/
Document Type:Conference or Workshop Item (Lecture)
Title:Data fusion for the efficient NDT of challenging aerospace structures: a review
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Jacob, Geogeo.jacob (at) dlr.dehttps://orcid.org/0000-0001-6862-6534
Raddatz, FlorianFlorian.Raddatz (at) dlr.dehttps://orcid.org/0000-0002-0660-7650
Date:18 April 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:12049
DOI :10.1117/12.2612357
Series Name:Proceedings of SPIE
ISSN:120490C
Status:Published
Keywords:Data fusion, Digitalisation, Non-destructive testing (NDT), Multifunctional composites, Digital twin
Event Title:SPIE Smart Structures + Nondestructive Evaluation
Event Location:Long Beach, California
Event Type:international Conference
Event Dates:6- 9 March 2022
Organizer:SPIE, the international society for optics and photonics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - MRO and Cabin
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul
Deposited By: Jacob, Geo
Deposited On:02 May 2022 07:07
Last Modified:02 May 2022 07:07

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