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

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 52; no. 10; pp. 10934 - 10964
• Main Authors: Serradilla, Oscar, Zugasti, Ekhi, Rodriguez, Jon, Zurutuza, Urko
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Computer Science; Deep learning; Industrial applications; Machines; Manufacturing; Mechanical Engineering; Neural networks; Predictive maintenance; Processes; State-of-the-art reviews; Deep learning; Survey; Industry 4.0; Data-driven; Review; Predictive maintenance

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 and optimise maintenance tasks. However, given the large variety of such...