Correlation between surface charge and DC surface flashover of plasma treated epoxy resin

Shao, Tao; Kong, Fei; Lin, Haofan; Ma, Yuanhui; Xie, Qing; Zhang, Cheng

doi:10.1109/tdei.2017.007132

Cited by 78 publications

(51 citation statements)

References 19 publications

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“…In recent years, research on the accumulation and distribution characteristics of surface charges under DC voltage has become a hot research topic in the field of high voltage. Although scholars around the world have conducted a lot of research on the accumulation mechanism of surface charges, there is no unified understanding about the influence of surface charges on flashover characteristics of insulators [8][9][10][11][12][13][14][15][16]. The research conducted by Winter A. and Kumara S. showed that flashover voltages would decrease when heterocharges were deposited on the insulator surface and would increase in presence of homo-charges [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…The research conducted by Winter A. and Kumara S. showed that flashover voltages would decrease when heterocharges were deposited on the insulator surface and would increase in presence of homo-charges [11,12]. However, the research of Shao and Du indicated that both hetero-charges and homo-charges would cause decrease in flashover voltages [13,14]. Moreover, Farish and Li found that flashover voltages seldom changed when there were homo-charges [15,16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF₆

Tao

et al. 2021

IEEE Trans. Dielect. Electr. Insul.

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In this paper, the influence of surface charges is quantitatively analyzed based on the study of surface charge distribution under DC voltage and flashover characteristics of insulators under superimposed voltage of DC and lightning impulse. It is found that when DC and impulse voltage are in the same polarity, surface charges weaken the electric field along the insulator surface and flashover voltages under superimposed voltage increases. When DC and impulse are in the opposite polarity, surface charges enhance the electric field along the insulator surface, and flashover voltages will decrease. The calculation results of the electric field along the flashover path show that the changing rate of the maximum field strength is approximately equal to the changing rate of flashover voltage, which proves that the influence of surface charges on flashover characteristics of insulators mainly depends on their distortion of the electric field.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF₆

Tao

et al. 2021

IEEE Trans. Dielect. Electr. Insul.

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“…An important characteristic of DC GIL is that it needs to withstand DC voltage during operation. In practical applications, DC GIL inevitably faces two major problems, one is the problem of surface charge accumulation [2][3], and the other is the problem of metal particles [4]. In particular, when these two defects exist at the same time, the insulation strength of the interface of the gas-solid insulation material will be notably decreased, and the surface flashover phenomenon of the insulator may be induced [5].…”

Section: Introductionmentioning

confidence: 99%

Mechanism Analysis of Particle-Triggered Flashover in Different Gas Dielectrics Under DC Superposition Lightning Impulse Voltage

Wang

Chang

et al. 2020

IEEE Access

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When DC GIL in operation endures the lightning impulse voltage, the charge accumulation at the gas-solid interface area will seriously affect the insulation performance of the spacer. Considering that gas side conduction is one of the important factors affecting charge accumulation, for the purpose of clarifying of the insulation characteristics of gaseous medium in the flashover process of gas-solid interface, an experimental platform for simulating the working conditions of the spacer is built. The spacer flashover tests were carried out with and without aluminum particle in SF6, 4% C3F7CN /96% CO2 and 20% SF6/80% N2 gas mixture. The measurement and analysis of surface potential distribution behavior of the spacer was conducted. The experiment results show that the gas dielectric is not the factor which dominate the potential distribution process without aluminum particle, and there is little difference in potential distribution with various gaseous conditions. When the linear aluminum particle appears on the surface of the insulator, it will cause severe electric potential distortion and these potential distorted areas are located around the end of the metal particle near the central conductor, and along with flashover pathway. It has also demonstrated that the gaseous dielectric has influence on the surface charge accumulation behavior especially with metallic particle adhere to spacer surface. Under the C3F7CN/CO2 gas mixture, the surface flashover voltage decrease percentage is about 16.82% and may be lower. Besides, the insulation strength of the gaseous dielectric itself is also a key factor affecting flashover.

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“…A RT IA L Discharge (PD) monitoring plays an important role in evaluating the condition of cable insulation and in improving the reliability of power transmission and distribution systems [1][2][3][4][5]. On-line or off-line PD based condition monitoring and fault diagnosis have been increasingly reported in industrial applications [6][7].…”

Section: Introductionmentioning

confidence: 99%

A Convolutional Neural Network-Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High-Voltage Cables

Peng

Fan

Wang

et al. 2019

IEEE Trans. Power Delivery

154

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It is a great challenge to differentiate Partial Discharge (PD) induced by different types of insulation defects in high voltage cables. Some types of PD signals have very similar characteristics and are specifically difficult to be differentiate, even for the most experienced specialists. T o overcome the challenge, a Convolutional Neural Network (C NN) based deep learning methodology for PD pattern recognition is presented in this paper. Firstly, PD testing for five types of artificial defects in E thylene-Propylene-R ubber (E PR) cables was carried out in the High V oltage (HV) laboratory to generate signals containing PD data. Secondly, 3500 sets of PD transient pulses were extracted and then 33 kinds of PD features were established. T he third stage applies a C NN to the data: typical C NN architecture and the key factors which affect the C NN based pattern recognition accuracy, are described. Factors discussed include the number of the network layers, convolutional kernel size, activation function, and pooling method. T he paper presents a flowchart of the C NN based PD pattern recognition method and an evaluation with 3500 sets of PD samples. Finally, the C NN based pattern recognition results are shown and the proposed method is compared with two more traditional analysis methods, i.e. Support V ector Machine (SV M) and Back Propagation Neural Network (BPNN). T he results show that the proposed C NN method has higher pattern recognition accuracy than SV M and BPNN, and that the novel method is especially effective for PD type recognition in cases of signals of high similarity, which is applicable for industrial applications. Index Terms-C onvolutional neural network, deep learning, high voltage cables, partial discharge, pattern recognition.

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Correlation between surface charge and DC surface flashover of plasma treated epoxy resin

Cited by 78 publications

References 19 publications

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF₆

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF₆

Mechanism Analysis of Particle-Triggered Flashover in Different Gas Dielectrics Under DC Superposition Lightning Impulse Voltage

A Convolutional Neural Network-Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High-Voltage Cables

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Correlation between surface charge and DC surface flashover of plasma treated epoxy resin

Cited by 78 publications

References 19 publications

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF6

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF6

Mechanism Analysis of Particle-Triggered Flashover in Different Gas Dielectrics Under DC Superposition Lightning Impulse Voltage

A Convolutional Neural Network-Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High-Voltage Cables

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Product

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Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF₆

Quantitative Analysis on the Influence of Surface Charges on Flashover of Insulators in SF₆