A Novel Algorithm for Separating Multiple PD Sources in a Substation Based on Spectrum Reconstruction of UHF Signals

IEEE Transactions on Power Delivery

Volumn 30, Issue 2, 2015, Pages 809-817

  Hou, Huijuan ^a   Sheng, Gehao ^a   Li, Sufei ^a   Jiang, Xiuchen ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Autoregressive moving average (ARMA) process; Fisher like class separation measure; model recognition; partial discharges (PDs); radial basis function neural network; signal separation; spectrum reconstruction; ultra high frequency

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE; FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); INTERFERENCE SUPPRESSION; PARTIAL DISCHARGES; RADIAL BASIS FUNCTION NETWORKS; SEPARATION; SIGNAL TO NOISE RATIO; TIME DELAY; UHF DEVICES; WHITE NOISE;

AUTOREGRESSIVE MOVING AVERAGE ARMA PROCESS; CLASS SEPARATION; MODEL RECOGNITION; PARTIAL DISCHARGE (PDS); RADIAL BASIS FUNCTION NEURAL NETWORKS; SIGNAL SEPARATION; SPECTRUM RECONSTRUCTION; ULTRA-HIGH FREQUENCY;

SOURCE SEPARATION;

EID: 84961354208     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2014.2323080     Document Type: Article

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