Machine tools anomaly detection through nearly real-time data analysis

  1. Herranz, G.
  2. Antolínez, A.
  3. Escartín, J.
  4. Arregi, A.
  5. Gerrikagoitia, J.K.
Journal:
Journal of Manufacturing and Materials Processing

ISSN: 2504-4494

Year of publication: 2019

Volume: 3

Issue: 4

Type: Article

DOI: 10.3390/JMMP3040097 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus