Zerrendatu Kongresuak-Ingeniaritza honen arabera: egilea "5017eceeae33d018ddf8bb5c340a47ab"
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Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery
Serradilla, Oscar; Zugasti, Ekhi; Cernuda, Carlos; Zurutuza, Urko (IEEE, 2020)This paper presents the implementation and explanations of a remaining life estimator model based on machine learning, applied to industrial data. Concretely, the model has been applied to a bushings testbed, where fatigue ... -
Towards robust defect detection in casting using contrastive learning
Intxausti Arbaiza, Eneko; Zugasti, Ekhi; Cernuda, Carlos (Springer, 2023)Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the occasional emergence of new defects in the production line poses a significant ...