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The Asset Administration Shell as a Solution Concept for the Realisation of Interoperable Digital Twins of Aircraft Components in Maintenance, Repair and Overhaul

Authors: Winkler, D.; Gill, M.S.; Fay, A.;

The Asset Administration Shell as a Solution Concept for the Realisation of Interoperable Digital Twins of Aircraft Components in Maintenance, Repair and Overhaul

Abstract

The concept of the Digital Twin (DT) is highly relevant in numerous domains from many perspectives. The possibility to solve descriptive, diagnostic, predictive and prescriptive tasks by using real-time data and diverse models offers the potential to improve processes sustainably. This also applies to the field of aircraft maintenance, where updated digital representations of an aircraft as well as its components, so called Line Replaceable Units (LRU`s), are highly needed in multiple tasks. Recorded data on the condition of these LRU`s as well as their mutual interaction from flight operation are of utmost value for Maintenance, Repair, Overhaul (MRO) service providers in order to carry out fault diagnosis and maintenance planning tasks more efficiently. A major challenge in this endeavour is the difficulty of accessing the data of a LRU, as this data is collected and stored in a wide variety of formats and data sources. Consequently, the necessary flow of information is hampered and restricted. The Asset Administration Shell (AAS) has proven helpful in a wide variety of Industry 4.0 application scenarios and offers the potential to be a solution concept for realising interoperable DT`s. The following contribution aims to highlight the advantages of using AAS in the maintenance of aircraft components. For this purpose, typical use cases and implementation challenges of interoperable DT`s in the area of MRO are illustrated. Accordingly, the use of the AAS including suitable submodels for the representation of information for the fundamental tasks of diagnosis and maintenance planning is demonstrated.

Keywords

Digital Twin, Aircraft Components, Asset Administration Shell, DGLR, MRO, Maintenance Repair Overhaul, DLRK, Industry 4.0, 2022

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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