Research on Compressed Sensing Matrix Based on Data Compressing of Insulator Leakage Current

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. Making data compression and reconstruction of leakage current with the compressed sensing theory can achieve pretty good results. Determination of measurement matrix is the significant step for realizing the compressed sensing theory. This paper compares multiple measurement matrix of their effect via experiments, putting forward to make data compression and reconstruction of leakage current using Toeplitz matrix, circulant matrix and sparse matrix as measurement matrix, of which the reconstitution effect is almost the same as classical measurement matrix and depletes computational complexity and workload.

• Periodical: Applied Mechanics and Materials (Volumes 475-476)
• Pages: 451-454
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.475-476.451
• Online since: December 2013
• Authors: Xue Ming Zhai*, Xiao Bo You, Ruo Chen Li, Yu Jia Zhai, De Wen Wang
• Keywords: Compressed Sensing, Data Compression, Leakage Current, Measurement Matrix

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