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

  1. Serradilla, O.
  2. Zugasti, E.
  3. Rodriguez, J.
  4. Zurutuza, U.
Revue:
Applied Intelligence

ISSN: 1573-7497,  0924-669X

Année de publication: 2022

Volumen: 52

Número: 10

Pages: 10934-10964

Type: Article

DOI: 10.1007/S10489-021-03004-Y GOOGLE SCHOLAR lock_openeBiltegia editor

Objectifs de Développement Durable

La source de données: Scopus