An overview of state-of-the-art partial discharge analysis techniques for condition monitoring

M Wu, H Cao, J Cao, HL Nguyen… - IEEE electrical …, 2015 - ieeexplore.ieee.org
As one step toward the future smart grid, condition monitoring is important to facilitate the
reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the …

Partial discharge classifications: Review of recent progress

WJK Raymond, HA Illias, H Mokhlis - Measurement, 2015 - Elsevier
It is well known that a correlation exist between the pattern of partial discharge (PD)
behavior and the insulation quality. Since different sources of partial discharge have their …

[图书][B] High-voltage test and measuring techniques

W Hauschild, E Lemke - 2014 - Springer
High-voltage (HV) test and measuring techniques are considered in most general HV text
books (eg Kuechler 2009; Kuffel et al. 2007; Beyer et al. 1986; Mosch et al. 1988; Schufft et …

Trends in partial discharge pattern classification: a survey

NC Sahoo, MMA Salama… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Partial discharge (PD) detection, measurement and classification constitute an important tool
for quality assessment of insulation systems utilized in HV power apparatus and cables. The …

Partial discharge phenomena in electrical machines for the more electrical aircraft. Part II: Impact of reduced pressures and wide bandgap devices

L Lusuardi, A Rumi, A Cavallini, D Barater… - IEEE Access, 2021 - ieeexplore.ieee.org
This paper focuses on the inception of partial discharges within the insulation system of
electrical actuators used for the More Electrical Aircraft (MEA). Since these machines should …

A novel application of deep belief networks in learning partial discharge patterns for classifying corona, surface, and internal discharges

M Karimi, M Majidi, H MirSaeedi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper introduces a new application of deep belief network (DBN) as an emerging
artificial neural network for recognizing and classifying different partial discharge (PD) …

GIS partial discharge pattern recognition via deep convolutional neural network under complex data source

H Song, J Dai, G Sheng, X Jiang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper aims to improve recognition accuracies of partial discharge (PD) of complex data
sources by employing deep convolutional neural network (DCNN). First, a dataset with …

Relation between space charge accumulation and partial discharge activity in enameled wires under PWM-like voltage waveforms

D Fabiani, GC Montanari, A Cavallini… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
It has been observed that voltage waveforms generated by power electronic converters may
affect significantly the reliability of electric motor insulation. Since partial discharges are …

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 …

Partial discharges classification methods in xlpe cable: A review

N Rosle, NA Muhamad, MNKH Rohani… - IEEE Access, 2021 - ieeexplore.ieee.org
Partial discharge (PD) signal classification analysis on cross-linked polyethylene (XLPE)
cables is complex, requiring a comprehensive understanding of the characteristics of PD …