Comparative Study of One-Class Based Anomaly Detection Techniques for a Bicomponent Mixing Machine Monitoring

  1. Jove, E. 1
  2. Casteleiro-Roca, J.-L. 1
  3. Casado-Vara, R. 2
  4. Quintián, H. 1
  5. Pérez, J.A.M. 3
  6. Mohamad, M.S. 45
  7. Luis Calvo-Rolle, J. 1
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

  2. 2 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  3. 3 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

  4. 4 Institute For Artificial Intelligence and Big Data, Universiti Malaysia Kelantan
  5. 5 Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan
Journal:
Cybernetics and Systems

ISSN: 1087-6553

Year of publication: 2020

Volume: 51

Issue: 7

Pages: 649-667

Type: Article

DOI: 10.1080/01969722.2020.1798641 SCOPUS: 2-s2.0-85088822821 GOOGLE SCHOLAR
Data source: Scopus