Condition-Based Maintenance in Aviation: Challenges and Opportunities

Author:

Verhagen Wim J. C.1ORCID,Santos Bruno F.2ORCID,Freeman Floris3,van Kessel Paul3,Zarouchas Dimitrios4,Loutas Theodoros5,Yeun Richard C. K.1ORCID,Heiets Iryna1ORCID

Affiliation:

1. Aerospace Engineering & Aviation, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia

2. Air Transport & Operations, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands

3. Koninklijke Luchtvaart Maatschappij (KLM) Engineering & Maintenance, Amsterdam Airport Schiphol, 1117 ZL Amsterdam, The Netherlands

4. Center of Excellence in Artificial Intelligence for Structures, Prognostics & Health Management, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands

5. Department of Mechanical & Aeronautical Engineering, University of Patras, University Campus, 26504 Patras, Greece

Abstract

Condition-Based Maintenance (CBM) is a policy that uses information about the health condition of systems and structures to identify optimal maintenance interventions over time, increasing the efficiency of maintenance operations. Despite CBM being a well-established concept in academic research, the practical uptake in aviation needs to catch up to expectations. This research aims to identify challenges, limitations, solution directions, and policy implications related to adopting CBM in aviation. We use a generalizable and holistic assessment framework to achieve this aim, following a process-oriented view of CBM development as an aircraft lifecycle management policy. Based on various inputs from industry and academia, we identified several major sets of challenges and suggested three primary solution categories. These address data quantity and quality, CBM implementation, and the integration of CBM with future technologies, highlighting future research and practice directions.

Funder

European Union’s Horizon 2020 research and innovation program

Publisher

MDPI AG

Subject

Aerospace Engineering

Reference46 articles.

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2. IATA (2023, February 27). Airline Maintenance Cost Executive Commentary (FY2020 Data). Available online: https://www.iata.org/contentassets/bf8ca67c8bcd4358b3d004b0d6d0916f/fy2020-mctg-report_public.pdf.

3. (2017). Maintenance—Maintenance Terminology (Standard No. BS EN 13306:2017). Available online: www.bsigroup.com.

4. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech. Syst. Signal Process.,2006

5. Heuristic hybrid game approach for fleet condition-based maintenance planning;Feng;Reliab. Eng. Syst. Saf.,2017

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