RF-based location of partial discharge sources using received signal features

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Abstract

Partial discharges (PDs) are symptomatic of some localised defects in the insulation system of electrical equipment. PD activity emits electrical pulses in the form of radio frequency (RF) signals which can be captured using appropriate sensors. The analysis of the measured RF signals facilitate localisation of PD. This paper investigates the plausibility of using purely RF received signal features of PD pulses to locate PD at low cost. A localisation approach based on the analysis of these features has been developed, with the assumption that PDs generate unique RF spatial patterns due to the complexities and nonlinearities of RF propagation. In this approach, two distinct frequency bands which hold different PD information are exploited. PD location features are extracted from the main PD signal and the two sub-band signals. Correlation based feature selection (CFS) is employed for feature selection and dimensionality reduction. Experimental results show that PD location can be inferred from the features of the PD pulses. The application of CFS to PD data reduces memory/computational demand and improves localisation accuracy.
Original languageEnglish
Number of pages5
JournalIET High Voltage
Early online date27 Sep 2018
DOIs
Publication statusE-pub ahead of print - 27 Sep 2018

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Partial discharges
Feature extraction
Frequency bands
Insulation

Keywords

  • partial discharge
  • radio frequency signals
  • electrical insulation

Cite this

@article{a7597047b89c4cc7b3059920129463b2,
title = "RF-based location of partial discharge sources using received signal features",
abstract = "Partial discharges (PDs) are symptomatic of some localised defects in the insulation system of electrical equipment. PD activity emits electrical pulses in the form of radio frequency (RF) signals which can be captured using appropriate sensors. The analysis of the measured RF signals facilitate localisation of PD. This paper investigates the plausibility of using purely RF received signal features of PD pulses to locate PD at low cost. A localisation approach based on the analysis of these features has been developed, with the assumption that PDs generate unique RF spatial patterns due to the complexities and nonlinearities of RF propagation. In this approach, two distinct frequency bands which hold different PD information are exploited. PD location features are extracted from the main PD signal and the two sub-band signals. Correlation based feature selection (CFS) is employed for feature selection and dimensionality reduction. Experimental results show that PD location can be inferred from the features of the PD pulses. The application of CFS to PD data reduces memory/computational demand and improves localisation accuracy.",
keywords = "partial discharge, radio frequency signals, electrical insulation",
author = "Iorkyase, {Ephraim T.} and Christos Tachtatzis and Glover, {Ian A.} and Atkinson, {Robert C.}",
year = "2018",
month = "9",
day = "27",
doi = "10.1049/hve.2018.5027",
language = "English",
journal = "IET High Voltage",
issn = "2397-7264",

}

TY - JOUR

T1 - RF-based location of partial discharge sources using received signal features

AU - Iorkyase, Ephraim T.

AU - Tachtatzis, Christos

AU - Glover, Ian A.

AU - Atkinson, Robert C.

PY - 2018/9/27

Y1 - 2018/9/27

N2 - Partial discharges (PDs) are symptomatic of some localised defects in the insulation system of electrical equipment. PD activity emits electrical pulses in the form of radio frequency (RF) signals which can be captured using appropriate sensors. The analysis of the measured RF signals facilitate localisation of PD. This paper investigates the plausibility of using purely RF received signal features of PD pulses to locate PD at low cost. A localisation approach based on the analysis of these features has been developed, with the assumption that PDs generate unique RF spatial patterns due to the complexities and nonlinearities of RF propagation. In this approach, two distinct frequency bands which hold different PD information are exploited. PD location features are extracted from the main PD signal and the two sub-band signals. Correlation based feature selection (CFS) is employed for feature selection and dimensionality reduction. Experimental results show that PD location can be inferred from the features of the PD pulses. The application of CFS to PD data reduces memory/computational demand and improves localisation accuracy.

AB - Partial discharges (PDs) are symptomatic of some localised defects in the insulation system of electrical equipment. PD activity emits electrical pulses in the form of radio frequency (RF) signals which can be captured using appropriate sensors. The analysis of the measured RF signals facilitate localisation of PD. This paper investigates the plausibility of using purely RF received signal features of PD pulses to locate PD at low cost. A localisation approach based on the analysis of these features has been developed, with the assumption that PDs generate unique RF spatial patterns due to the complexities and nonlinearities of RF propagation. In this approach, two distinct frequency bands which hold different PD information are exploited. PD location features are extracted from the main PD signal and the two sub-band signals. Correlation based feature selection (CFS) is employed for feature selection and dimensionality reduction. Experimental results show that PD location can be inferred from the features of the PD pulses. The application of CFS to PD data reduces memory/computational demand and improves localisation accuracy.

KW - partial discharge

KW - radio frequency signals

KW - electrical insulation

UR - http://digital-library.theiet.org/content/journals/hve

U2 - 10.1049/hve.2018.5027

DO - 10.1049/hve.2018.5027

M3 - Article

JO - IET High Voltage

JF - IET High Voltage

SN - 2397-7264

ER -