Overview and partial discharge analysis of power transformers: A literature review

MR Hussain, SS Refaat, H Abu-Rub - IEEE Access, 2021 - ieeexplore.ieee.org
The high voltage power transformer is the critical element of the power system, which
requires continuous monitoring to prevent sudden catastrophic failures and to ensure an …

Separation techniques of partial discharges and electrical noise sources: A review of recent progress

JA Ardila-Rey, MP Cerda-Luna… - IEEE …, 2020 - ieeexplore.ieee.org
Partial discharge (PD) monitoring is one of the most used tools for diagnosing the condition
of electrical equipment and machines that operate normally at high voltage levels. Ideally …

Partial discharges pattern recognition of transformer defect model by LBP & HOG features

K Firuzi, M Vakilian, BT Phung… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Partial discharge (PD) measurement and identification have great importance to condition
monitoring of power transformers. In this paper, a new method for recognition of single and …

Separating multi-source partial discharge signals using linear prediction analysis and isolation forest algorithm

YB Wang, DG Chang, SR Qin, YH Fan… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Partial discharge (PD) detection is an effective way to find defects and diagnose the
insulation condition of power equipment. During manufacturing and operating, there may …

Research on transformer partial discharge UHF pattern recognition based on CNN-LSTM

X Zhou, X Wu, P Ding, X Li, N He, G Zhang, X Zhang - Energies, 2019 - mdpi.com
In view of the fact that the statistical feature quantity of traditional partial discharge (PD)
pattern recognition relies on expert experience and lacks certain generalization, this paper …

New Algorithm Applied to Transformers' Failures Detection Based on Karhunen–Loève Transform

BA De Castro, A Binotto, JA Ardila-Rey… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Industry and science have been growing attention to developing systems that ensure the
integrity of high voltage devices like power transformers. The goal is to avoid unexpected …

Separation of partial discharges sources and noise based on the temporal and spectral response of the signals

JA Ardila-Rey, R Schurch, NM Poblete… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The insulation systems of equipment, cables, and electrical machines subjected to high
voltage are continuously exposed to multiple aging mechanisms of electrical, mechanical …

[PDF][PDF] 基于辅助分类–边界平衡生成式对抗网络的局部放电数据增强与多源放电识别

朱永利, 张翼, 蔡炜豪, 高盎然 - 中国电机工程学报, 2021 - epjournal.csee.org.cn
基于辅助分类–边界平衡生成式对抗网络的局部放电数据增强与多源放电识别 Page 1 第41 卷第
14 期 中国电机工程学报 Vol.41 No.14 Jul. 20, 2021 5044 2021 年7 月20 日 Proceedings of the …

Partial discharge fault diagnosis based on multi-scale dispersion entropy and a hypersphere multiclass support vector machine

H Shang, F Li, Y Wu - Entropy, 2019 - mdpi.com
Partial discharge (PD) fault analysis is an important tool for insulation condition diagnosis of
electrical equipment. In order to conquer the limitations of traditional PD fault diagnosis, a …

A comprehensive review of signal processing and machine learning technologies for UHF PD detection and diagnosis (I): Preprocessing and localization approaches

J Long, X Wang, W Zhou, J Zhang, D Dai, G Zhu - IEEE Access, 2021 - ieeexplore.ieee.org
Partial discharge (PD) detection and diagnosis based on the ultra-high frequency (UHF)
signals is one of the most widely adopted methods to evaluate the internal insulation status …