Condition monitoring based on partial discharge diagnostics using machine learning methods: A comprehensive state-of-the-art review
This paper presents a state-of-the-art review on machine learning (ML) based intelligent
diagnostics that have been applied for partial discharge (PD) detection, localization, and …
diagnostics that have been applied for partial discharge (PD) detection, localization, and …
Partial discharge classification using deep learning methods—Survey of recent progress
S Barrios, D Buldain, MP Comech, I Gilbert, I Orue - Energies, 2019 - mdpi.com
This paper examines the recent advances made in the field of Deep Learning (DL) methods
for the automated identification of Partial Discharges (PD). PD activity is an indication of the …
for the automated identification of Partial Discharges (PD). PD activity is an indication of the …
Review of medium-voltage switchgear fault detection in a condition-based monitoring system by using deep learning
In power energy distribution networks, switchgear is considered critical equipment. This is
because the act of monitoring the operation and condition of switchgear, as well as …
because the act of monitoring the operation and condition of switchgear, as well as …
Classification of partial discharge images using deep convolutional neural networks
M Florkowski - Energies, 2020 - mdpi.com
Artificial intelligence-based solutions and applications have great potential in various fields
of electrical power engineering. The problem of the electrical reliability of power equipment …
of electrical power engineering. The problem of the electrical reliability of power equipment …
Noise invariant partial discharge classification based on convolutional neural network
WJK Raymond, CW Xin, LW Kin, HA Illias - Measurement, 2021 - Elsevier
Partial discharge (PD) pattern recognition is essential since it can help to identify the nature
of the insulation defect. Numerous machine learning models have been utilized for PD …
of the insulation defect. Numerous machine learning models have been utilized for PD …
A Review on the Classification of Partial Discharges in Medium-Voltage Cables: Detection, Feature Extraction, Artificial Intelligence-Based Classification, and …
Medium-voltage (MV) cables often experience a shortened lifespan attributed to insulation
breakdown resulting from accelerated aging and anomalous operational and environmental …
breakdown resulting from accelerated aging and anomalous operational and environmental …
An interpretable CNN model for classification of partial discharge waveforms in 3D-printed dielectric samples with different void sizes
Regular maintenance of power equipment in high voltage power systems is essential for
avoiding outages. An effective way to maintain such systems is the measurement of partial …
avoiding outages. An effective way to maintain such systems is the measurement of partial …
Partial discharge patterns recognition with deep Convolutional Neural Networks
Traditional methods of partial discharge (PD) patterns recognition often rely on much prior
knowledge about PD mechanism and signal processing techniques to construct appropriate …
knowledge about PD mechanism and signal processing techniques to construct appropriate …
A data analytic approach to automatic fault diagnosis and prognosis for distribution automation
X Wang, SDJ McArthur, SM Strachan… - … on Smart Grid, 2017 - ieeexplore.ieee.org
Distribution automation (DA) is deployed to reduce outages and to rapidly reconnect
customers following network faults. Recent developments in DA equipment have enabled …
customers following network faults. Recent developments in DA equipment have enabled …
Partial discharge detection of insulated conductors based on CNN-LSTM of attention mechanisms
Under the condition of a strong electric field, partial discharge often occurs when insulated
wire is damaged. The recognition of partial discharge is an effective method for the fast and …
wire is damaged. The recognition of partial discharge is an effective method for the fast and …