NDLI: Insulator leakage current data compression based on EMD and compressed sending

Content Provider	IEEE Xplore Digital Library
Author	Chunjiang Pang Xiao Xie
Copyright Year	2010
Description	Author affiliation: College of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei Province, 071003, China (Chunjiang Pang; Xiao Xie)
Abstract	In order to increase transmission and processing speed, it is essential to compress the non-stationary leakage current in the insulator monitored system. Compressed Sensing (CS) combines sampling and compression with a small amount of sample to reconstruct signal well, which not only reduces hardware requirements, but also improves compression efficiency. However, computational complexity is high in CS recovery process of non-stationary signals. In this paper, CS combines with empirical mode decomposition method (EMD). Decompose Non-stationary leakage current into a finite number of stationary intrinsic mode functions (IMF), and then CS processes stationary IMFs. The experiment results indicate that it enhances not only the speed of process and operational efficiency but also compression ratio and reconstruction accuracy in the case that CS processes leakage current signal by EMD decomposition.
Starting Page	847
Ending Page	850
File Size	712413
Page Count	4
File Format	PDF
ISBN	9781424467884
e-ISBN	9781424467891
DOI	10.1109/PIC.2010.5687905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Empirical mode decomposition Leakage current Signal reconstruction Compressed sensing
Content Type	Text
Resource Type	Article

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