DocumentCode
548945
Title
Adaptive sampling algorithm applied to SCADA datalog database shrinkage
Author
Petkovski, Mile ; Kostov, Mitko ; Bogdanova, Sofija ; Bogdanov, Momcilo
Author_Institution
Fac. of Tech. Sci., Univ. St. Kliment Ohridski, Bitola, Macedonia
fYear
2011
fDate
16-18 June 2011
Firstpage
1
Lastpage
4
Abstract
In this paper an application of adaptive sampling algorithm is considered. Adaptive sampling is utilized as an efficient tool for records reduction of SCADA Datalog Database. Decreasing the number of records of Datalog File significantly increase the data-logging period. Proposed procedure is tested on commercially installed data-logging system and results are presented graphically as a resulting trend.
Keywords
SCADA systems; data loggers; database management systems; SCAD datalog database shrinkage; adaptive sampling algorithm; data-logging period; data-logging system; datalog file records; Databases; Discrete wavelet transforms; Estimation; SCADA systems; Wavelet packets; datalogging; discrete wavelet transform; nonuniform sampling; wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
Conference_Location
Sarajevo
ISSN
2157-8672
Print_ISBN
978-1-4577-0074-3
Type
conf
Filename
5977344
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