Abstract
An incorrect or incomplete repair card, typically used in aviation maintenance for reporting failures, may result in incorrect maintenance and make it very hard to analyse the maintenance data. There are several reasons for this incomplete reporting. Firstly, (part of) the information is often unknown at the moment the maintenance crew fills in the card. Also, the findings on repair cards are generally filled out as freeform text, making it difficult to automatically interpret the findings. An automatically assessed failure description will lead to more complete and consistent repair cards. This will also improve the efficiency of troubleshooting since this failure diagnosis can add information which would otherwise not be at the disposal of the maintenance crew at that time. This research will utilise a data driven approach combining maintenance and usage data. The model will be based on Artificial Intelligence (AI) such that it is no longer necessary to completely understand the physics of a (sub)system or component. XAI (eXplainable AI) will be added to the model to provide transparency and interpretability of the assessed diagnosis. The different steps towards this failure diagnosing model are applied to a case study with a main wheel of the RNLAF (Royal Netherlands Air Force) F-16. This preliminary feasibility study already showed the value of this automated failure diagnosis model with an improvement in diagnosis accuracy from 60% to 69% .
Original language | English |
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Title of host publication | Proceedings of the European Conference of the PHM Society |
Editors | Chetan Kulkarni, Tiedo Tinga |
Place of Publication | Utrecht |
Publisher | PHM Society |
Number of pages | 11 |
Volume | 4 |
Edition | 1 |
Publication status | Published - 30 Jun 2018 |
Event | 4th European Conference of the Prognostics and Health Management Society, PHME 2018 - Muntgebouw Utrecht, Utrecht, Netherlands Duration: 3 Jul 2018 → 6 Jul 2018 Conference number: 4 http://www.phmsociety.org/events/conference/phm/europe/18 |
Conference
Conference | 4th European Conference of the Prognostics and Health Management Society, PHME 2018 |
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Abbreviated title | PHME 2018 |
Country/Territory | Netherlands |
City | Utrecht |
Period | 3/07/18 → 6/07/18 |
Internet address |