Adaptive sampling algorithm applied to SCADA datalog database shrinkage

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.