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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |