Statistical Features and Determinism in Partial Discharge Data from Electrical Trees and Voids

Chalashkanov, Nikola, Clarke, Conor and Dodd, Stephen (2022) Statistical Features and Determinism in Partial Discharge Data from Electrical Trees and Voids. In: IEEE Conference on Electrical Insulation and Dielectric Phenomena.

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Statistical Features and Determinism in Partial Discharge Data from Electrical Trees and Voids
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Abstract

Partial discharge (PD) data obtained from electrical trees and void experiments were analyzed. Several correlations
were identified between the various statistical parameters traditionally used in PD classification and deterministic features such as average power dissipation. The correlation coefficients were found to have very high values in the case of electrical trees. Numerical simulations of PD activity in tree structures and voids were then used to explain the origin of the observed dependencies. The correlations between the statistical parameters describing the PD data identified in this work, could potentially be used to improve the robustness and reliability of defect classification based on PD measurements.

Keywords:Partial discharges, Statistical Features, Determinism, Electrical Trees
Subjects:H Engineering > H620 Electrical Engineering
H Engineering > H630 Electrical Power
Divisions:College of Science > School of Engineering
ID Code:47318
Deposited On:19 Nov 2021 10:34

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