Enabling data-driven anomaly detection by design in cyber-physical production systems
Crossref DOI link: https://doi.org/10.1186/s42400-022-00114-z
Published Online: 2022-05-01
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pinto, Rui http://orcid.org/0000-0002-0345-1208
Gonçalves, Gil
Delsing, Jerker
Tovar, Eduardo
Text and Data Mining valid from 2022-05-01
Version of Record valid from 2022-05-01
Article History
Received: 20 July 2021
Accepted: 25 January 2022
First Online: 1 May 2022
Declarations
:
: The authors declare that they have no competing interests.