Efficiency Enhancement through Decision Support Based on Data Mining

S. Sara Aghvami; Heidar T. Shandiz; M.R. Jahed Motlagh

doi:10.4028/www.scientific.net/AMR.403-408.942

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Efficiency Enhancement through Decision Support...

Efficiency Enhancement through Decision Support Based on Data Mining

Abstract:

In this paper, Data Mining is applied to develop the idea of directing an industrial process to be placed in a better state of operation, so the efficiency would be increased. A clustering algorithm, (Modified K-Means) is used to determine the patterns of interest, i.e. the nearest operating state in the history of the process data, on which the efficiency is higher than the current state of the process. Then, like what happens in a decision support mechanism, controllable variable of the current operating state is suggested to be changed to meet the ones of the desired pattern

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

942-947

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.942

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Online since:

November 2011

Authors:

S. Sara Aghvami, Heidar T. Shandiz, M.R. Jahed Motlagh

Keywords:

Boiler, Clustering, Data Mining (DM), Efficiency, Operating Data

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