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RUL estimation and maintenance optimization for aircraft engines: a system of system approach

Author

Listed:
  • Veronica Fornlöf

    (GKN Aerospace Engine Systems
    University of Skövde)

  • Diego Galar

    (University of Skövde)

  • Anna Syberfeldt

    (University of Skövde)

  • Torgny Almgren

    (GKN Aerospace Engine Systems)

Abstract

An aircraft engine is a system of systems with several degrees of complexity. It is important to perform the correct amount of maintenance at each individual maintenance event. A mathematical replacement model is used to ensure that the correct maintenance is performed. The reliability of the results from the mathematical replacement model will be improved if there is a better way to estimate the life length for on-condition engine parts.

Suggested Citation

  • Veronica Fornlöf & Diego Galar & Anna Syberfeldt & Torgny Almgren, 2016. "RUL estimation and maintenance optimization for aircraft engines: a system of system approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(4), pages 450-461, December.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:4:d:10.1007_s13198-016-0509-0
    DOI: 10.1007/s13198-016-0509-0
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    References listed on IDEAS

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    1. Reményi, Christoph & Staudacher, Stephan, 2014. "Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 94-107.
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    Cited by:

    1. Maria Grazia De Giorgi & Nicola Menga & Antonio Ficarella, 2023. "Exploring Prognostic and Diagnostic Techniques for Jet Engine Health Monitoring: A Review of Degradation Mechanisms and Advanced Prediction Strategies," Energies, MDPI, vol. 16(6), pages 1-37, March.
    2. Yan, Rundong & Dunnett, S.J. & Jackson, L.M., 2018. "Novel methodology for optimising the design, operation and maintenance of a multi-AGV system," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 130-139.
    3. Bahareh Tajiani & Jørn Vatn, 2023. "Adaptive remaining useful life prediction framework with stochastic failure threshold for experimental bearings with different lifetimes under contaminated condition," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1756-1777, October.

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