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Two key problems in industrial plant optimization are the compression of data from the automation system and the estimation of values which are not directly available. Clustering can be used to determine technologically meaningful operating points from data sets which serve as compressed archive data. Block selection techniques yield a speedup that makes this method feasible for industrial applications...
Three key problems in industrial plant optimization are the compression of data from the automation system, the estimation of values which are not directly available, and the determination of process parameters leading to minimum production cost for given quality. Clustering can be used to determine technologically meaningful operating points from data sets which serve as compressed archive data....
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