Journal article Open Access

Cable Sheath Diagnosis in Cross Bonding Cable Systems

Marina Adel

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.3871573</identifier>
      <creatorName>Marina Adel</creatorName>
    <title>Cable Sheath Diagnosis in Cross Bonding Cable Systems</title>
    <subject>Condition monitoring, current measurements, electric breakdown, cable shielding, sheath current.</subject>
    <date dateType="Issued">2020-06-01</date>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3871572</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;On-line monitoring is now getting more focus on detecting defects in HV insulated cable system in order to prevent failures. Cross Bonding (CB) configurations are widely used in long power transmission land lines in order to reduce the circulating currents through cable metal sheath. This paper presents a general criterion for detecting defects in cable sheaths in CB configuration. Three types of defects are studied in this paper; open circuit fault in sheath loop, two phase short circuit in linkboxes (breakdown between sectionalized sheaths) and flooding in linkboxes. ATP software is used for the simulation of these defects on the modelled system. The criterion developed is studied on a real double circuit cable system in order to show the influence of varying the load of each one of the parallel lines. Real measurements have been performed on this cable system under normal condition; there is a good agreement between the measured and simulated results.&lt;/p&gt;</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/676042/">676042</awardNumber>
      <awardTitle>Metrology Excellence Academic Network for Smart Grids</awardTitle>
All versions This version
Views 1111
Downloads 22
Data volume 2.6 MB2.6 MB
Unique views 88
Unique downloads 22


Cite as