Intelligent Identification, Classification, and Localization of Submarine Cable Faults for Offshore Wind Farms Using Time-Domain Reflectometric and Neural Network-Based Techniques.

Saved in:
Bibliographic Details
Title: Intelligent Identification, Classification, and Localization of Submarine Cable Faults for Offshore Wind Farms Using Time-Domain Reflectometric and Neural Network-Based Techniques.
Authors: Rose, Garrett1 (AUTHOR) roseg@cput.ac.za, Krishnamurthy, Senthil2 (AUTHOR) krishnamurthys@cput.ac.za
Source: Algorithms. May2026, Vol. 19 Issue 5, p388. 39p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194116687
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Intelligent Identification, Classification, and Localization of Submarine Cable Faults for Offshore Wind Farms Using Time-Domain Reflectometric and Neural Network-Based Techniques.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rose%2C+Garrett%22">Rose, Garrett</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> roseg@cput.ac.za</i><br /><searchLink fieldCode="AR" term="%22Krishnamurthy%2C+Senthil%22">Krishnamurthy, Senthil</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> krishnamurthys@cput.ac.za</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. May2026, Vol. 19 Issue 5, p388. 39p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194116687
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/a19050388
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 39
        StartPage: 388
    Titles:
      – TitleFull: Intelligent Identification, Classification, and Localization of Submarine Cable Faults for Offshore Wind Farms Using Time-Domain Reflectometric and Neural Network-Based Techniques.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rose, Garrett
      – PersonEntity:
          Name:
            NameFull: Krishnamurthy, Senthil
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19994893
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Algorithms
              Type: main
ResultId 1