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Dewen Wang
North China Electric Power University

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Feature Extraction and Classification of Electric Power Equipment Images based on Corner Invariant Moments Zhai Xueming; Zhang Dongya; Dewen Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Feature extraction and accurate classification of electric power equipment, help to improve the automation and intelligent level of power system management. Aiming at the problems that applying Hu invariant moments to extract image feature computes large and applying corner vector to match has too dimensions, this paper presented Harris corner invariant moments algorithm. This algorithm only calculates corner coordinates other than the entire image coordinates, so can change the point feature into feature vectors, and reduce the corner matching dimensions. Combined with the SVM (Support Vector Machine) classification method, we conducted a classification for a large number of electrical equipment images, and the result shows that using Harris corner invariant moments algorithm to extract invariant moments, and classifying by these invariant moments can achieve better classification accuracy. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.1422
Improved Compressed Sensing Matrixes for Insulator Leakage Current Data Compressing Zhai Xueming; You Xiaobo; Dewen Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Insulator fault may lead to the accident of power network，thus the on-line monitoring of insulator is very significant. Low rates wireless network is used for data transmission of leakage current. Determination of the measurement matrix is the significant step for realizing the compressed sensing theory. This article comes up with new sparse matrices which can be used as compressed sensing matrices to make data compression and reconstruction of leakage current with the compressed sensing. This theory can achieve pretty good results. And then this article performs that the reconstitution effect is almost the same using the measurement matrix of Toeplitz matrix, circulant matrix or sparse matrix, as using a classical measurement matrix. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.1419
Co-Authors You Xiaobo Zhai Xueming Zhang Dongya