Google Scholar (papers in order of citations)
Selected papers:
- Mihaela Mitici, Ingeborg de Pater, Anne Barros, & Zhiguo Zeng (2023). Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines. Reliability Engineering & System Safety, 234, 109199. Paper here: Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines
Open-source code for this paper here: Code_Dynamic2023_RESS
When using this code, please cite "Mihaela Mitici, Ingeborg de Pater, Anne Barros, & Zhiguo Zeng (2023). Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines. Reliability Engineering & System Safety, 234, 109199." and mention the link to the repository: https://git.science.uu.nl/ics/algorithmic-data-analysis/Code_Dynamic2023/code_dynamic2023/-/tree/Code_Dynamic2024_CNN/src
- Ingeborg de Pater, Arthur Reijns, and Mihaela Mitici. “Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics”. In: Reliability Engineering & System Safety 221 (2022), p. 108341. Paper here: Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
- Mihaela Mitici, Madalena Pereira, and Fabrizio Oliviero. “Electric flight scheduling with battery-charging and battery-swapping opportunities”. In: EURO Journal on Transportation and Logistics 11 (2022), p. 100074. Paper here: Electric flight scheduling with battery-charging and battery-swapping opportunities
- Mihaela Mitici and Ingeborg De Pater. “Online model-based Remaining-Useful-Life prognostics for aircraft cooling units using time-warping degradation clustering”. In: Aerospace 8.6 (2021), p. 168. Paper here: Online Model-Based Remaining-Useful-Life Prognostics for Aircraft Cooling Units Using Time-Warping Degradation Clustering
- Micha Zoutendijk and Mihaela Mitici. “Probabilistic flight delay predictions using machine learning and applications to the flight-to-gate assignment problem”. In: Aerospace 8.6 (2021), p. 152. Paper here: Probabilistic Flight Delay Predictions Using Machine Learning and Applications to the Flight-to-Gate Assignment Problem
- Juseong Lee and Mihaela Mitici. “Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling”. In: Reliability Engineering & System Safety 218 (2022), p. 108123. Paper here: Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling