Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming

Data in advanced manufacturing are often sparse and collected from various sensory devices in a heterogeneous and multi-modal fashion. Thus, for such intricate input spaces, learning robust and reliable predictive models for product quality assessments entails implementing complex nonlinear models s...

Full description

Bibliographic Details

Published in:	International journal of computer integrated manufacturing Vol. 37; no. 1-2; pp. 18 - 36
Main Authors:	Ramezankhani, Milad, Harandi, Mehrtash, Seethaler, Rudolf, Milani, Abbas S.
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 01.02.2024
Subjects:	convolutional variational autoencoder Intelligent manufacturing model explainability thermoforming transfer learning
ISSN:	0951-192X, 1362-3052
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!