Insulation Defect Modelling and Partial Discharge Typology Identification: A Robust and Automatic Approach

This paper has a twofold aim. On one side, it aims to show a paramount application of an innovative approach to automatic partial discharge (PD) monitoring and analysis, referring to types of cable defects that can trigger internal and surface discharges. The type of defect generating PD is automati...

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Veröffentlicht in:Applied sciences 2024-08, Vol.14 (15), p.6715
Hauptverfasser: Montanari, Gian Carlo, Shafiq, Muhammad, Myneni, Sukesh Babu
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper has a twofold aim. On one side, it aims to show a paramount application of an innovative approach to automatic partial discharge (PD) monitoring and analysis, referring to types of cable defects that can trigger internal and surface discharges. The type of defect generating PD is automatically identified, which is of fundamental importance to develop condition maintenance tools of any electrical asset component. On the other side, the way to create artificial defects, namely using a tool to test any PD measurement approach, is illustrated and discussed, relying upon partial discharge inception field and voltage modelling. Also, the so-called three-leg approach, which is capable of achieving the optimal and reliable design of electrical insulation systems, was applied and successfully validated for simple test objects and real electrical assets such as cable with artificially developed defects.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14156715