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A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance

Larrinaga, Felix; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko (Sage Journals, 2019)

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

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)

Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...

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

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Springer Science+Business Media, LLC, 2022)

Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ...

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

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Taylor and Francis, 2022)

The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...