Highly-overlapped, recursive partial least squares soft sensor with state partitioning via local variable selection
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DOI: 10.1016/j.chemolab.2018.02.006
Abstract: Abstract We report the use of a soft sensor ensemble based on recursive partial least squares with a large number of overlapping models. The proposed method uses process memory attenuation in the ensemble by varying… read more here.
Keywords: state partitioning; sensor; soft sensor; variable selection ... See more keywords