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Articles

Predicting and mitigating failures on the flight deck: an aircraft engine bird strike scenario

, , , & ORCID Icon
Pages 1672-1695 | Received 05 Jul 2021, Accepted 25 Feb 2022, Published online: 16 Mar 2022
 

Abstract

Engine damage as a consequence of foreign object debris (FOD) during flight is frequently caused by birds. One approach to minimising disruption caused by this damage is to provide flight crew with accurate information relating to the continuing operational status of the aircraft’s engines. Before designing such avionic systems however, understanding of current procedures is needed. Hierarchical Task Analysis (HTA) and Systematic Human Error Reduction and Prediction Approach (SHERPA) were used to identify potential failures that flight crew may make when managing an engine bird strike. Workshops with commercial pilots generated insights into current practice and a commercial pilot SME reviewed outputs for accuracy. Over 200 potential failures were identified, most commonly related to communication. Remedial measures, considering future avionic systems, are proposed to mitigate identified failures. This analysis provides a starting point for future design concepts for assisting flight crew in dealing with engine malfunction due to FOD strikes.

Practitioner summary: Hierarchical Task Analysis was conducted to show all tasks involved in dealing with an in-flight aircraft engine bird strike. Systematic Human Error Reduction and Prediction Approach analysis was performed and over 200 possible failures were identified when managing this event. Remedial measures are proposed to help mitigate possible failures.

Acknowledgements

We would also like to extend thanks to the airline pilots who took part in our interview study for their invaluable contributions.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This project was co-funded by Innovate UK, the UK’s Innovation Agency, with support from the UK Aerospace Technology Institute.
This article is part of the following collections:
Ergonomics Best Paper Award: Shortlisted Papers

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