Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil

The partial discharge (PD) detection of electrical equipment is important for the safe operation of power system. The ultrasonic signal generated by the PD in the oil is a broadband signal. However, most methods of the array signal processing are used for the narrowband signal at present, and the ef...

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Main Authors: Qing Xie, Dan Liu, Ying Zhang, Shuguo Gao, Tong Li, Xinjie Wang, Fangcheng Lü
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2016/1343194
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author Qing Xie
Dan Liu
Ying Zhang
Shuguo Gao
Tong Li
Xinjie Wang
Fangcheng Lü
author_facet Qing Xie
Dan Liu
Ying Zhang
Shuguo Gao
Tong Li
Xinjie Wang
Fangcheng Lü
author_sort Qing Xie
collection DOAJ
description The partial discharge (PD) detection of electrical equipment is important for the safe operation of power system. The ultrasonic signal generated by the PD in the oil is a broadband signal. However, most methods of the array signal processing are used for the narrowband signal at present, and the effect of some methods for processing wideband signals is not satisfactory. Therefore, it is necessary to find new broadband signal processing methods to improve detection ability of the PD source. In this paper, the direction of arrival (DOA) estimation method based on sparse representation of eigenvector is proposed, and this method can further reduce the noise interference. Moreover, the simulation results show that this direction finding method is feasible for broadband signal and thus improve the following positioning accuracy of the three-array localization method. And experimental results verify that the direction finding method based on sparse representation of eigenvector is feasible for the ultrasonic array, which can achieve accurate estimation of direction of arrival and improve the following positioning accuracy. This can provide important guidance information for the equipment maintenance in the practical application.
format Article
id doaj-art-4ce041f1fa9b47d3b0e16ce376f0b4f6
institution Kabale University
issn 1687-5869
1687-5877
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-4ce041f1fa9b47d3b0e16ce376f0b4f62025-08-20T03:34:20ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/13431941343194Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer OilQing Xie0Dan Liu1Ying Zhang2Shuguo Gao3Tong Li4Xinjie Wang5Fangcheng Lü6State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, Hebei 071003, ChinaHebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding, Hebei 071003, ChinaHebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding, Hebei 071003, ChinaState Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, ChinaHebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding, Hebei 071003, ChinaDepartment of English, North China Electric Power University, Baoding, Hebei 071003, ChinaHebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding, Hebei 071003, ChinaThe partial discharge (PD) detection of electrical equipment is important for the safe operation of power system. The ultrasonic signal generated by the PD in the oil is a broadband signal. However, most methods of the array signal processing are used for the narrowband signal at present, and the effect of some methods for processing wideband signals is not satisfactory. Therefore, it is necessary to find new broadband signal processing methods to improve detection ability of the PD source. In this paper, the direction of arrival (DOA) estimation method based on sparse representation of eigenvector is proposed, and this method can further reduce the noise interference. Moreover, the simulation results show that this direction finding method is feasible for broadband signal and thus improve the following positioning accuracy of the three-array localization method. And experimental results verify that the direction finding method based on sparse representation of eigenvector is feasible for the ultrasonic array, which can achieve accurate estimation of direction of arrival and improve the following positioning accuracy. This can provide important guidance information for the equipment maintenance in the practical application.http://dx.doi.org/10.1155/2016/1343194
spellingShingle Qing Xie
Dan Liu
Ying Zhang
Shuguo Gao
Tong Li
Xinjie Wang
Fangcheng Lü
Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil
International Journal of Antennas and Propagation
title Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil
title_full Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil
title_fullStr Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil
title_full_unstemmed Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil
title_short Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil
title_sort application research of the sparse representation of eigenvector on the pd positioning in the transformer oil
url http://dx.doi.org/10.1155/2016/1343194
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