Application of Gabor–Wigner transform to inspect high-impedance fault-generated signals

Cheng, Jiang; Huang, Shyh Jier; Hsieh, Cheng Tao

doi:10.1016/j.ijepes.2015.05.010

Cited by 29 publications

(12 citation statements)

References 21 publications

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“…The advantages of the WD-index include the higher concentration of energy and time-frequency resolution [22]. The WD-index evaluated using current signal ( f (t)) is effectively expressed by the following relation [23,24]:…”

Section: Wd-indexmentioning

confidence: 99%

A Protection Scheme for a Power System with Solar Energy Penetration

et al. 2020

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As renewable energy (RE) penetration has a continuously increasing trend, the protection of RE integrated power systems is a critical issue. Recently, power networks developed for grid integration of solar energy (SE) have been designed with the help of multi-tapped lines to integrate small- and medium-sized SE plants and simultaneously supplying power to the loads. These tapped lines create protection challenges. This paper introduces an algorithm for the recognition of faults in the grid to which a solar photovoltaic (PV) system is integrated. A fault index (FI) was introduced to identify faults. This FI was calculated by multiplying the Wigner distribution (WD) index and Alienation (ALN) index. The WD-index was based on the energy density of the current signal evaluated using Wigner distribution function. The ALN-index was evaluated using sample-based alienation coefficients of the current signal. The performance of the algorithm was validated for various scenarios with different fault types at various locations, different fault incident angles, fault impedances, sampling frequencies, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, different types of transformer windings and the presence of noise. Two phase faults with and without the involvement of ground were differentiated using the ground fault index based on the zero sequence current. This study was performed on the IEEE-13 nodes test network to which a solar PV plant with a capacity of 1 MW was integrated. The performance of the algorithm was also tested on the western part of utility grid in the Rajasthan State in India where solar PV energy integration is high. The performance of the algorithm was effectively established by comparing it with the discrete Wavelet transform (DWT), Wavelet packet transform (WPT) and Stockwell transform-based methods.

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Section: Wd-indexmentioning

confidence: 99%

A Protection Scheme for a Power System with Solar Energy Penetration

et al. 2020

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“…Generally, two-dimensional Gabor function ( , ) g x y and its Fourier transform can be written as is the scale factor. Gabor function is frequently used in texture recognition and it has made excellent achievements (Jiang-Yong and Shyh-Jier et al, 2015;Chen, and Liang, 2015).…”

Section: Gabor Transformmentioning

confidence: 99%

Image Texture Feature Extraction Based on Gabor Transform

2017

Revista Tecnica De La Facultad De Ingenieria Universidad Del Zu

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As a regional feature, texture is a description of the spatial distribution of the image pixels. As texture can fully utilize the image information, it can become an important basis to describe and recognize the image. Compared with other image features, texture can take both the macro image properties and micro structure into consideration; therefore, feature has become a significant feature to be extracted in the target recognition. This paper analyzes the performance of Gabor filter, designs a multi-channel Gabor filter and selects its parameters. By extracting various local feature information (direction, phase, energy and so on) of the image with multichannel filter, this method can decompose an image into the sub-images based on different frequency directions and channels and it classifies the sub-images with the statistical feature extracted from the sub-image as the texture feature to represent different texture region features of the image. It is quite convenient to realize and it can obtain the optimal comparison effect in the spatial and frequency domains. The experiment result shows that the Gabor filter of this paper have excellent performance in analyzing the frequency and the direction information of the local regions of digital image.

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“…In [11], artificial neural networks are used for HIFs detection. The Gabor transform with Wigner distribution for HIFs detection is presented in [12]. In [13], the authors describe a mathematical model based on the orthogonal component decomposition technique.…”

Section: Introductionmentioning

confidence: 99%

“…In brief, previous works [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] have presented numerical and analytical models for representing HIFs. These models are subject to constant improvements to increase their accuracy and efficiency.…”

Section: Introductionmentioning

confidence: 99%