Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms

  1. Carrasco, J.
  2. López, D.
  3. Aguilera-Martos, I.
  4. García-Gil, D.
  5. Markova, I.
  6. García-Barzana, M.
  7. Arias-Rodil, M.
  8. Luengo, J.
  9. Herrera, F.
Aldizkaria:
Neurocomputing

ISSN: 1872-8286 0925-2312

Argitalpen urtea: 2021

Alea: 462

Orrialdeak: 440-452

Mota: Artikulua

DOI: 10.1016/J.NEUCOM.2021.07.095 GOOGLE SCHOLAR