![](bgc.png)
and latent space analysis (as done for VRAE) for com-
plementary gains in performance. Finally, an even-
tual detection of out-of-domain patterns (e.g. unde-
sired signals corruption, noise, artifacts) could be per-
formed making the VAE learn both normal and ab-
normal domain-patterns, keeping the class of interest
(anomaly) on those kinds of oscillations.
ACKNOWLEDGEMENTS
The project OPERATOR - Digital Transformation in
Industry with a Focus on the Operator 4.0 (OPERA-
TOR - NORTE-01-0247-FEDER-045910) leading to
this work is co-financed by the ERDF - European Re-
gional Development Fund through the North Portugal
Regional Operational Program and Lisbon Regional
Operational Program and by the Portuguese Foun-
dation for Science and Technology - FCT under the
MIT Portugal Program (2019 Open Call for Flagship
projects - Digital Transformation in Industry).
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