Recent Research and Applications in Variational Autoencoders for Industrial Prognosis and Health Management: A Survey

Whether in the industrial, medical, or real-world domains, more and more data are being collected. The common particularity of all these application domains is that a great part of this data is mostly unlabeled. Thus, designing a learning model with a minimum of labeled data represents a major chall...

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Veröffentlicht in:	Prognostics and System Health Management Conference S. 193 - 203
Hauptverfasser:	Zemouri, Ryad, Levesque, Melanie, Boucher, Etienne, Kirouac, Mathieu, Lafleur, Francois, Bernier, Simon, Merkhouf, Arezki
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2022
Schlagworte:	Deep learning Prognosis and Health Management Variational Autoencoders
ISSN:	2166-5656
Online-Zugang:	Volltext
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