Identifying prognostic indicators for electrical treeing in solid insulation through PD analysis
Nur Hakimah Aziz, M.D. Judd, Victoria M. Catterson
Abstract
Nur Hakimah Aziz, M.D. Judd, Victoria M. Catterson
Abstract
This paper presents early results from an experimental study of electrical treeing on commercially available pre-formed silicone samples. A needle-plane test arrangement was set up using hypodermic needle. Partial discharge (PD) data was captured using both the IEC60270 electrical method and radio frequency (RF) sensors, and visual observations are made using a digital microscope. Features of the PD plot that corresponded to electrical tree growth were assessed, evaluating the similarities and differences of both PD measurement techniques. Three univariate phase distributions were extracted from the partial discharge phase-resolved (PRPD) plot and the first four statistical moments were determined. The implications for automated lifetime prediction of insulation samples due to electrical tree development are discussed.
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This paper presents early results from an experimental study of electrical treeing on commercially available pre-formed silicone samples. A needle-plane test arrangement was set up using hypodermic needle. Partial discharge (PD) data was captured using both the IEC60270 electrical method and radio frequency (RF) sensors, and visual observations are made using a digital microscope. Features of the PD plot that corresponded to electrical tree growth were assessed, evaluating the similarities and differences of both PD measurement techniques. Three univariate phase distributions were extracted from the partial discharge phase-resolved (PRPD) plot and the first four statistical moments were determined. The implications for automated lifetime prediction of insulation samples due to electrical tree development are discussed.
Key concepts: Electrical treeing, Partial discharge, Materials science, Statistical analysis, Electronic engineering, Voltage, Electrical engineering, Engineering