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Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables...

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a330ef35d0d0440caddad4730b8d4c13

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks

About this item

Full title

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.684

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

To improve the accuracy of shallow neural networks in processing complex signals and cable fault diagnosis, and to overcome the shortage of manual dependency and cable fault feature extraction, a deep learning method is introduced, and a time-frequency domain joint impedance spectrum is proposed for cable fault identification and localization based...

Alternative Titles

Full title

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a330ef35d0d0440caddad4730b8d4c13

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a330ef35d0d0440caddad4730b8d4c13

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23020684

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