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Aircraft system-level diagnosis with emphasis on maintenance decisions

Author

Listed:
  • Christos Skliros
  • Fakhre Ali
  • Steve King
  • Ian Jennions

Abstract

This paper proposes a diagnostic technique that can predict component degradation for a number of complex systems. It improves and clarifies the capabilities of a previously proposed diagnostic approach, by identifying the degradation severity of the examined components, and uses a 3D Principal Component Analysis approach to provide an explanation for the observed diagnostic accuracy. The diagnostic results are then used, in a systematic way, to influence maintenance decisions. Having been developed for the Auxiliary Power Unit (APU), the flexibility and power of the diagnostic methodology is shown by applying it to a completely new system, the Environmental Control System (ECS). A major conclusion of this work is that the proposed diagnostic approach is able to correctly predict the health state of two aircraft systems, and potentially many more, even in cases where different fault combinations result in similar fault patterns. Based on the engineering simulation approach verified here, a diagnostic methodology suitable from aircraft conception to retirement is proposed.

Suggested Citation

  • Christos Skliros & Fakhre Ali & Steve King & Ian Jennions, 2022. "Aircraft system-level diagnosis with emphasis on maintenance decisions," Journal of Risk and Reliability, , vol. 236(6), pages 1057-1077, December.
    • Handle: RePEc:sae:risrel:v:236:y:2022:i:6:p:1057-1077
    DOI: 10.1177/1748006X211054938
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    References listed on IDEAS

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    1. Tahan, Mohammadreza & Tsoutsanis, Elias & Muhammad, Masdi & Abdul Karim, Z.A., 2017. "Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review," Applied Energy, Elsevier, vol. 198(C), pages 122-144.
    2. Joly, R. B. & Ogaji, S. O. T. & Singh, R. & Probert, S. D., 2004. "Gas-turbine diagnostics using artificial neural-networks for a high bypass ratio military turbofan engine," Applied Energy, Elsevier, vol. 78(4), pages 397-418, August.
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