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SP Cup 2016 Purdue Report

Abstract: 

We report a multi-harmonic histogram method for extracting and analyzing electric network frequency (ENF) signals to identify power grids. Given a voltage-time measurement of a power grid with a base frequency f0, we compute the ENF signals at multiple harmonic locations f_0 and extract (i) a histogram of the magnitudes of the ENF; (ii) a histogram of the signal power and noise power surrounding the ENF; (iii) a histogram of the signal-to noise-ratio (SNR) of the ENF. Different from existing methods which use spectral-combining techniques to compress multiple harmonics into one single ENF, the proposed multi-harmonic histogram method retains significantly richer information which allows one to perform classification. At the classification stage, we propose a histogram matching method with a multi-layer decision rule for identification. On the practice data set consisting of 50 testing samples, we achieve 92% overall accuracy.

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Paper Details

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Submitted On:
29 September 2016 - 11:29am
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Type:
Report
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Document Year:
2016
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SPCup2016_Purdue.pdf

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[1] , "SP Cup 2016 Purdue Report", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1147. Accessed: Nov. 21, 2017.
@article{1147-16,
url = {http://sigport.org/1147},
author = { },
publisher = {IEEE SigPort},
title = {SP Cup 2016 Purdue Report},
year = {2016} }
TY - EJOUR
T1 - SP Cup 2016 Purdue Report
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1147
ER -
. (2016). SP Cup 2016 Purdue Report. IEEE SigPort. http://sigport.org/1147
, 2016. SP Cup 2016 Purdue Report. Available at: http://sigport.org/1147.
. (2016). "SP Cup 2016 Purdue Report." Web.
1. . SP Cup 2016 Purdue Report [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1147