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Investigation of Degradation Modeling for Aircraft Structures: A Systematic Literature Review

Jilke, Lukas and Raddatz, Florian and Wende, Gerko (2023) Investigation of Degradation Modeling for Aircraft Structures: A Systematic Literature Review. AIAA 2023, 2023-06-12 - 2023-06-16, San Diego, CA, USA. doi: 10.2514/6.2023-3550.

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Remaining useful life prognostics, maintenance planning and prognostics and health management are crucial instruments to increase the safety, reliability, and efficiency of operational aircraft. These forecasting instruments often depend on in-flight data sets obtained from sensor-based structural health monitoring or condition monitoring of aircraft components to predict structural component states. However, data-driven prognostic instruments are facing the persistent challenge of a deficiency of run-to-failure data sets for aerospace components, which satisfy both quantitative and qualitative data requirements. Degradation models are able to simulate the degradation processes of structural components and thus satisfy the requirements of data-based prediction models in terms of run-to-failure data quantity, quality, and heterogeneity. Since aerospace components are affected by a large number of external factors during operational use, the generation of degradation data with high accuracy is a major challenge in degradation modeling. This study offers a thorough analysis of current degradation modeling techniques adapted to aircraft structures. The objective of this paper is to present an overview of existing degradation modeling approaches in the aeronautical domain through a systematic literature review, as well as to emphasize the advantages, practical applications, and limitations of various methodologies. The present approaches are classified into three categories: data-driven methodologies, physics-based and hybrid degradation modeling approaches.

Item URL in elib:https://elib.dlr.de/193826/
Document Type:Conference or Workshop Item (Speech)
Title:Investigation of Degradation Modeling for Aircraft Structures: A Systematic Literature Review
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jilke, LukasUNSPECIFIEDhttps://orcid.org/0000-0001-6879-3279UNSPECIFIED
Raddatz, FlorianUNSPECIFIEDhttps://orcid.org/0000-0002-0660-7650UNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Degradation modeling, damage propagation modeling, predictive maintenance, aircraft maintenance, Remaining Useful Life prognostics
Event Title:AIAA 2023
Event Location:San Diego, CA, USA
Event Type:international Conference
Event Start Date:12 June 2023
Event End Date:16 June 2023
Organizer:AIAA AVIATION Forum and Exposition
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: Aachen
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Process Optimisation and Digitalisation
Deposited By: Jilke, Lukas
Deposited On:07 Feb 2023 14:22
Last Modified:24 Apr 2024 20:54

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