Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems

The rapid growth in the industrial sector has required the development of more productive and reliable machinery, and therefore, leads to complex systems. In this regard, the automatic detection of unknown events in machinery represents a greater challenge, since uncharacterized catastrophic faults...

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Detalles Bibliográficos
Autores principales: Arellano-Espitia, Francisco, Delgado-Prieto, Miguel, Gonzalez-Abreu, Artvin-Darien, Saucedo-Dorantes, Juan Jose, Osornio-Rios, Roque Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433707/
https://www.ncbi.nlm.nih.gov/pubmed/34502724
http://dx.doi.org/10.3390/s21175830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433707/
https://www.ncbi.nlm.nih.gov/pubmed/34502724
http://dx.doi.org/10.3390/s21175830

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