An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets

Juseong Lee^*, Mihaela Mitici

^*Corresponding author for this work

Air Transport & Operations

Research output: Contribution to journal › Article › Scientific › peer-review

57 Citations (Scopus)

131 Downloads (Pure)

57 Citations
1 Conference contribution
1 Article
1 Dissertation (TU Delft)

3 results

2022
Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics
Lee, J. & Mitici, M. A., 2022, In: Reliability Engineering & System Safety. 230, 14 p., 108908.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
55 Citations (Scopus)

268 Downloads (Pure)
Predictive Aircraft Maintenance: Integrating Remaining-Useful-Life Prognostics into Maintenance Optimization
Lee, J., 2022, 191 p.
Research output: Thesis › Dissertation (TU Delft)

Open Access
File
256 Downloads (Pure)
Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft
Lee, J., de Pater, I. I., Boekweit, S. A. & Mitici, M. A., 2022, Proceedings of the European Conference of the PHM Society 2022. Do, P., Michau, G. & Ezhilarasu, C. (eds.). 1 ed. Vol. 7. p. 278-285 8 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
44 Downloads (Pure)