Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Fault diagnosis in manufacturing systems represents one of the most critical challenges dealing with condition-based monitoring in the recent era of smart manufacturing. In the current Industry 4.0 framework, maintenance strategies based on traditional data-driven fault diagnosis schemes require enhanced capabilities to be applied over modern produ...
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Full title
Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
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TN_cdi_doaj_primary_oai_doaj_org_article_3b2008841560425982f448a2b0becc15
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3b2008841560425982f448a2b0becc15
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20143949
