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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. In: Proceedings of SPIE - The International Society for Optical Engineering, 12049. SPIE Smart Structures + Nondestructive Evaluation, 2022-03-06 - 2022-03-09, Long Beach, California. doi: 10.1117/12.2612357. ISBN 978-151064973-6. ISSN 0277-786X.

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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


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
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jacob, GeoUNSPECIFIEDhttps://orcid.org/0000-0001-6862-6534144043523
Raddatz, FlorianUNSPECIFIEDhttps://orcid.org/0000-0002-0660-7650UNSPECIFIED
Date:18 April 2022
Journal or Publication Title:Proceedings of SPIE - The International Society for Optical Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Series Name:Proceedings of SPIE
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 Start Date:6 March 2022
Event End Date: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:24 Apr 2024 20:46

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