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Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Networ...

Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Networ...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b0df68196a64464682dff778f6db4786

Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Network Optimized by an Improved Mantis Search Algorithm

About this item

Full title

Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Network Optimized by an Improved Mantis Search Algorithm

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-05, Vol.24 (10), p.3174

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The dependable functioning of switchgear is essential to maintain the stability of power supply systems. Partial discharge (PD) is a critical phenomenon affecting the insulation of switchgear, potentially leading to equipment failure and accidents. PDs are generally grouped into metal particle discharge, suspended discharge, and creeping discharge....

Alternative Titles

Full title

Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Network Optimized by an Improved Mantis Search Algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b0df68196a64464682dff778f6db4786

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b0df68196a64464682dff778f6db4786

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24103174

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