Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 can occur. However, the existing methods for anoma...
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Full title
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems
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TN_cdi_doaj_primary_oai_doaj_org_article_33a48edc0f294ffda823db99240e0f68
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33a48edc0f294ffda823db99240e0f68
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21175830
