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Soft sensor for compression and burst strength: identification and uncertainty analysis

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)38-47
Number of pages10
JournalJournal of Science and Technology for Forest Products and Processes
Volume7
Issue number1
Publication statusPublished - 2018
Publication typeA1 Journal article-refereed

Abstract

We present a work process for developing soft sensors, and apply it for board compression and burst strength. Variables are prescreened and data preprocessed based on paper physics and process knowledge. The measurement uncertainty of the soft sensor is analyzed, including effects of the noise in laboratory strength measurements that constitute the reference in the identification of the soft sensor model, and the effects of parameter uncertainties. The uncertainty analysis provides the end users a means to assess the usefulness of the information at different operating situations, and to recognize when soft sensor predictions are not to be trusted due to, e.g. extrapolation.

Publication forum classification

Field of science, Statistics Finland