Dynamical properties of partial-discharge patterns. Issue 5 (3rd September 2018)

• Record Type: Journal Article
• Authors: Lampart, Marek; Vantuch, Tomáš; Zelinka, Ivan; Mišák, Stanislav
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 33:Issue 5(2018)
• Page Start: 474
• Page End: 489
• Publication Date: 2018-09-03
• Subjects: Partial-discharge pattern -- approximate entropy -- sample entropy -- correlation dimension -- 0-1 test for chaos; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2017.1324026
• Languages: English
• ISSNs: 1744-5760

Abstract

Abstract: 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. 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. Graphical Abstract: 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. 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.