Deep learning approaches to aircraft maintenance, repair and overhaul: a review
The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maintenance, repair and overhaul (MRO). Challenges...
| Main Authors: | Rengasamy, Divish, Morvan, Herve, Figueredo, Grazziela P. |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
|
| Online Access: | https://eprints.nottingham.ac.uk/53377/ |
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