Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components. - Ingeborg de Pater; Mihaela Mitici (Reliab. Eng. Syst. Saf., 2021)

Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics. - Ingeborg de Pater; Arthur Reijns; Mihaela Mitici (Reliab. Eng. Syst. Saf., 2022)

Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder. - Ingeborg de Pater; Mihaela Mitici (Eng. Appl. Artif. Intell., 2023)

Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines. - Mihaela Mitici; Ingeborg de Pater; Anne Barros; Zhiguo Zeng (Reliab. Eng. Syst. Saf., 2023)

A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers. - Ingeborg de Pater; Mihaela Mitici (Neural Networks, 2023)

Federated learning framework for collaborative remaining useful life prognostics: An aircraft engine case study. - Diogo Landau; Ingeborg de Pater; Mihaela Mitici; Nishant Saurabh (Future Gener. Comput. Syst., 2026)