Partial discharge detection and diagnosis in gas insulated switchgear: State of the art

Q Khan, SS Refaat, H Abu-Rub… - IEEE Electrical …, 2019 - ieeexplore.ieee.org
Power utilities are struggling to reduce power failure incidents in substations and their
components to operate more reliably and economically [1]. Many power failures are …

SF6 Decomposed Component Analysis for Partial Discharge Diagnosis in GIS: A Review

AS Mahdi, Z Abdul-Malek, RN Arshad - Ieee Access, 2022 - ieeexplore.ieee.org
This paper compiles, summarizes, and deliberates over one hundred important works on the
different approaches and advances in the surveillance and diagnosis of the internal status of …

Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model

Y Wang, J Yan, Z Yang, Y Zhao, T Liu - International Journal of Electrical …, 2021 - Elsevier
Gas-insulated switchgears (GISs) are an essential component of the power system, but in
the event of a failure they may pose a serious threat to the safe operation of the entire power …

High noise tolerance feature extraction for partial discharge classification in XLPE cable joints

WJK Raymond, HA Illias - IEEE Transactions on Dielectrics …, 2017 - ieeexplore.ieee.org
Cable joints are the weakest point in cross-linked polyethylene (XLPE) cables and are
susceptible to insulation failures. Partial discharge (PD) analysis is a vital tool for assessing …

GIS partial discharge pattern recognition via lightweight convolutional neural network in the ubiquitous power internet of things context

Y Wang, J Yan, Z Yang, Y Zhao… - … Science, Measurement & …, 2020 - Wiley Online Library
The construction of the ubiquitous power internet of things (UPIoT) provides a new feasible
solution for gas‐insulated switchgear (GIS) online monitoring and fault diagnosis, but it also …

Workmanship defect classification in medium voltage cable terminations with convolutional neural network

HI Uckol, S Ilhan, A Ozdemir - Electric Power Systems Research, 2021 - Elsevier
This paper presents a method based on convolutional neural network (CNN) for classifying
workmanship defects located in 36 kV cross-linked polyethylene (XLPE) cable terminations …

Classification of partial discharge measured under different levels of noise contamination

W Jee Keen Raymond, HA Illias, AH Abu Bakar - PLOS one, 2017 - journals.plos.org
Cable joint insulation breakdown may cause a huge loss to power companies. Therefore, it
is vital to diagnose the insulation quality to detect early signs of insulation failure. It is well …

Failure modeling and maintenance decision for GIS equipment subject to degradation and shocks

Q Wang, Z He, S Lin, Z Li - IEEE Transactions on Power …, 2017 - ieeexplore.ieee.org
In the traction power supply system (TPSS) of the high-speed railway (HSR), the traction
load produces extremely severe load conditions. Therefore, Gas insulated substation (GIS) …

An investigative study into the sensitivity of different partial discharge φ-qn pattern resolution sizes on statistical neural network pattern classification

AA Mas'ud, BG Stewart, SG McMeekin - Measurement, 2016 - Elsevier
This paper investigates the sensitivity of statistical fingerprints to different phase resolution
(PR) and amplitude bins (AB) sizes of partial discharge (PD) φ-qn (phase-amplitude …

A novel image‐orientation feature extraction method for partial discharges

Z Li, Y Qian, H Wang, X Zhou… - IET Generation …, 2022 - Wiley Online Library
Partial discharge identification is of great significance in monitoring power equipment.
Although substantial work has been done in partial discharge pattern recognition, most …