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
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;
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4577-0074-3
