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dc.contributor.authorLampart, Marek
dc.contributor.authorVantuch, Tomáš
dc.contributor.authorZelinka, Ivan
dc.contributor.authorMišák, Stanislav
dc.date.accessioned2018-08-22T06:17:44Z
dc.date.available2018-08-22T06:17:44Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Parallel, Emergent and Distributed Systems. 2018, vol. 33, issue 5, p. 474-489.cs
dc.identifier.issn1744-5760
dc.identifier.issn1744-5779
dc.identifier.urihttp://hdl.handle.net/10084/131211
dc.description.abstractIn this paper, Partial Discharge pattern as an indicator of the fault state of insulation systems of medium voltage overhead lines with covered conductors are described, analyzed, and their dynamical properties are researched. Application of data obtained in natural environment with huge variety of noise interferences, affected by various weather conditions, location and time of the day lead to questioning whether the PD-activity can be considered as a system with emergent-like behaviour. The complexity of obtained data and several signal types are examined and described in this contribution. As a main result, a complexity of signals is researched using approximate entropy, sample entropy, and correlation dimension. Finally, 0-1 test for chaos is used to show chaos of almost all signals and for one signal randomness is detected using newly applied stress test. In this paper, Partial Discharge pattern as an indicator of the fault state of insulation systems of medium voltage overhead lines with covered conductors are described, analyzed, and their dynamical properties are researched.cs
dc.language.isoencs
dc.publisherTaylor & Franciscs
dc.relation.ispartofseriesInternational Journal of Parallel, Emergent and Distributed Systemscs
dc.relation.urihttps://doi.org/10.1080/17445760.2017.1324026cs
dc.rightsRights managed by Taylor & Franciscs
dc.subjectpartial-discharge patterncs
dc.subjectapproximate entropycs
dc.subjectsample entropycs
dc.subjectcorrelation dimensioncs
dc.subject0-1 test for chaoscs
dc.titleDynamical properties of partial-discharge patternscs
dc.typearticlecs
dc.identifier.doi10.1080/17445760.2017.1324026
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume33cs
dc.description.issue5cs
dc.description.lastpage489cs
dc.description.firstpage474cs
dc.identifier.wos000438453400004


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