Adaptive Sampling Algorithm Applied to SCADA Datalog Database Shrinkage

Petkovski, Mile and Kostov, Mitko and Bogdanova, Sofija and Bogdanov, Momcilo (2011) Adaptive Sampling Algorithm Applied to SCADA Datalog Database Shrinkage. In: 18th International Conference on Systems, Signals and Image Processing IWSSIP, June 2011, Sarajevo, Bosnia and Herzegovina.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Technical Sciences
Depositing User: Prof Mitko Kostov
Date Deposited: 30 Aug 2018 15:54
Last Modified: 21 Nov 2021 08:52
URI: http://eprints.uklo.edu.mk/id/eprint/583

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