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 …

A review of online partial discharge measurement of large generators

Y Luo, Z Li, H Wang - Energies, 2017 - mdpi.com
Online partial discharge (PD) measurements have long been used as an effective means to
assess the condition of the stator windings of large generators. An increase in the use of PD …

Partial discharge signal denoising based on singular value decomposition and empirical wavelet transform

J Zhong, X Bi, Q Shu, M Chen, D Zhou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Online partial discharge (PD) monitoring is an important means to detect insulation
deterioration. However, it is difficult to extract the PD signal due to various interferences in …

Water quality prediction model combining sparse auto-encoder and LSTM network

Z Li, F Peng, B Niu, G Li, J Wu, Z Miao - IFAC-PapersOnLine, 2018 - Elsevier
In order to improve the prediction accuracy of dissolved oxygen in aquaculture, a hybrid
model based on sparse auto-encoder (SAE) and long-short-term memory network (LSTM) is …

A denoising method for mining cable PD signal based on genetic algorithm optimization of VMD and wavelet threshold

Y Wang, P Chen, Y Zhao, Y Sun - Sensors, 2022 - mdpi.com
When the pulse current method is used for partial discharge (PD) monitoring of mining
cables, the detected PD signals are seriously disturbed by the field noise, which are easily …

Smart transformer for smart grid—intelligent framework and techniques for power transformer asset management

H Ma, TK Saha, C Ekanayake… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Condition monitoring and diagnosis have become an essential part of power transformer
asset management. A variety of online and offline measurements have been performed in …

[图书][B] Transformer ageing: monitoring and estimation techniques

TK Saha, P Purkait - 2017 - books.google.com
A one-stop guide to transformer ageing, presenting industrially relevant state-of-the-art
diagnostic techniques backed by extensive research data Offers a comprehensive coverage …

A new partial discharge signal denoising algorithm based on adaptive dual-tree complex wavelet transform

M Ghorat, GB Gharehpetian, H Latifi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Denoising is a key step in diagnosis and evaluation of partial discharge (PD) signals in
power transformers. In this paper, a new PD signal denoising algorithm is presented, which …

Multi-scale prediction of water temperature using empirical mode decomposition with back-propagation neural networks

S Liu, L Xu, D Li - Computers & Electrical Engineering, 2016 - Elsevier
In order to reduce aquaculture risks and optimize the operation of water quality management
in prawn engineering culture ponds, this paper proposes a novel water temperature …

Denoising of partial discharge signal using a hybrid framework of total variation denoising-autoencoder

S Chaudhuri, S Ghosh, D Dey, S Munshi, B Chatterjee… - Measurement, 2023 - Elsevier
Partial discharge (PD) measurement is an essential task for assessing the condition of
electrical insulations. Different types of noises, such as random noise and discrete spectral …