Detection of Component Degradation: A Study on Autoencoder-Based Approaches
Author:
Affiliation:
1. DUMAS, University of Sassari,Sassari,Italy
Funder
ECSEL JU
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10254737/10254662/10254890.pdf?arnumber=10254890
Reference11 articles.
1. Pytorch: An imperative style, high-performance deep learning library;paszke;Proceedings of NIPS 2019,0
2. Vector reconstruction error for anomaly detection: Preliminary results in the imoco4.e project;guidotti;Appear in,2023
3. Digital Twins and AI in Smart Motion Control Applications
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