DocumentCode :
737050
Title :
The Research about Dielectric Loss That in the Capacitive Equipment of Converting Station Monitor the Data Compression and Trend Extraction Method On-Line
Author :
Xianqing, Shen ; Xiaolong, Duan
fYear :
2015
fDate :
13-14 June 2015
Firstpage :
1262
Lastpage :
1265
Abstract :
The capacitive equipment of converting station monitor the data that is huge and redundant on-line, and its insulating properties change very slowly. The embedded zero tree wavelet algorithm of variable compression ratio and the wavelet decomposition coefficient can realize the data compression effectively. The wavelet reconstruction method can realize the extraction of the trend of the compressed data. Experimental results show that this method can compress the data and manage the information effectively, the effective extraction of characteristic value can improve the precision of the diagnosis of the insulation fault.
Keywords :
Data mining; Dielectric losses; Monitoring; Wavelet analysis; Wavelet packets; dielectric loss angle; embedded zero tree wavelet algorithm; on-line monitoring; wavelet reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
Type :
conf
DOI :
10.1109/ICMTMA.2015.307
Filename :
7263803
Link To Document :
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