Oscar Serradilla

Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge

Julian Ramirez de Okariz, Urko Zurutuza, E. Zugasti, 2022, Int. J. Comput. Integr. Manuf..

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

Urko Zurutuza, E. Zugasti, Oscar Serradilla, 2022, Applied Intelligence.

Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation

Ali Eftekhari Milani, Frank Sehnke, U. Izagirre, 2023, Energies.

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery

Urko Zurutuza, Ekhi Zugasti, Carlos Cernuda, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data

Urko Zurutuza, E. Zugasti, Oscar Serradilla, 2021, Applied Sciences.

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect pdf

Urko Zurutuza, Ekhi Zugasti, Oscar Serradilla, 2020, ArXiv.