Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques
Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology. This study aims to explore the effectiveness of deep learning techniques, specifically 1D-CNN model, L...
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Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques
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TN_cdi_doaj_primary_oai_doaj_org_article_f9733ddf00d24d0083053fc8451cd1bc
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f9733ddf00d24d0083053fc8451cd1bc
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13074617
