Fault Detection and Diagnosis in Industrial Processes with Variational Autoencoder: A Comprehensive Study

This work considers industrial process monitoring using a variational autoencoder (VAE). As a powerful deep generative model, the variational autoencoder and its variants have become popular for process monitoring. However, its monitoring ability, especially its fault diagnosis ability, has not been...

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Detalles Bibliográficos
Autores principales: Zhu, Jinlin, Jiang, Muyun, Liu, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749793/
https://www.ncbi.nlm.nih.gov/pubmed/35009769
http://dx.doi.org/10.3390/s22010227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749793/
https://www.ncbi.nlm.nih.gov/pubmed/35009769
http://dx.doi.org/10.3390/s22010227

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