Air vehicle system health and asset management: modeling, simulation, and decision support

Abstract Effective Asset Management (AM) is essential to achieve operational excellence in the context of large complex Cyber-Physical Systems (CPSs). It involves coordinated activities across all life-cycle stages, including information and service exchange within and between adjacent air operations domains, for effective air operations and collaboration. For enterprises and military air operations, AM presuppose information and service exchange between the adjacent domains of air operations. Important aspects of aviation AM are that CPSs include Integrated Vehicle Health Management (IVHM), CPS models, and Digital Twin (DT), as central concepts used to predict and optimize asset performance. This article provides an overview of the aviation AM phenomenology, environment, and challenges, and how they may impact envisioned realisations of effective AM solutions for support to enterprise air vehicle operations. The article serves as an extension of the paper Cyber-physical Asset Management of Air Vehicle Systems presented at the International Congress and Workshop of Industrial AI and Maintenance (Candell et al., in Proceedings of the IAI2023–7th international congress and workshop on industrial AI and eMaintenance, Luleå, Sweden, 2023). A comprehensive approach is presented, comprising interdependent dimensions of the problem domain, and how they may be integrated into a framework and a platform concept addressing aviation AM needs.

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Publication Details

Journal
International Journal of Systems Assurance Engineering and Management
Published
2024-09-23
DOI
https://doi.org/10.1007/s13198-024-02481-x
Citations
3
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.05

Funders

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article

Air vehicle system health and asset management: modeling, simulation, and decision support

Torbjörn Fransson, Ella Olsson, Ramin Karim, Olov Candell et al.
3 citations
International Journal of Systems Assurance Engineering and Management
Manufacturing Process and Optimization
1.05
article

Air vehicle system health and asset management: modeling, simulation, and decision support

Torbjörn Fransson, Ella Olsson, Ramin Karim, Olov Candell, Adithya Thaduri, Robert Hällqvist
article en
3 citations

Abstract

Abstract Effective Asset Management (AM) is essential to achieve operational excellence in the context of large complex Cyber-Physical Systems (CPSs). It involves coordinated activities across all life-cycle stages, including information and service exchange within and between adjacent air operations domains, for effective air operations and collaboration. For enterprises and military air operations, AM presuppose information and service exchange between the adjacent domains of air operations. Important aspects of aviation AM are that CPSs include Integrated Vehicle Health Management (IVHM), CPS models, and Digital Twin (DT), as central concepts used to predict and optimize asset performance. This article provides an overview of the aviation AM phenomenology, environment, and challenges, and how they may impact envisioned realisations of effective AM solutions for support to enterprise air vehicle operations. The article serves as an extension of the paper Cyber-physical Asset Management of Air Vehicle Systems presented at the International Congress and Workshop of Industrial AI and Maintenance (Candell et al., in Proceedings of the IAI2023–7th international congress and workshop on industrial AI and eMaintenance, Luleå, Sweden, 2023). A comprehensive approach is presented, comprising interdependent dimensions of the problem domain, and how they may be integrated into a framework and a platform concept addressing aviation AM needs.

International Journal of Systems Assurance Engineering and Management
Saab (Switzerland) (CH), Luleå University of Technology (SE)
VINNOVA
Openalex Percentile: Top 20%
Manufacturing Process and Optimization
1.05
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