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Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVd...

Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVd...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33b9ae0fafe54615a94b574ff8033a7e

Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems

About this item

Full title

Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-12, Vol.22 (24), p.9936

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

We develop a probabilistic model for determining the location of dc-link faults in MT-HVdc networks using discrete wavelet transforms (DWTs), Bayesian optimization, and multilayer artificial neural networks (ANNs) based on local information. Likewise, feedforward neural networks (FFNNs) are trained using the Levenberg-Marquardt backpropagation (LMB...

Alternative Titles

Full title

Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_33b9ae0fafe54615a94b574ff8033a7e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33b9ae0fafe54615a94b574ff8033a7e

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22249936

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