AUTOMATIC SELECTION OF RELEVANT DATA FOR PAPER MACHINE DIAGNOSTICS

Heli Hytti
Heli Hytti
Antti Nissinen
Antti Nissinen
Heimo Ihalainen
Heimo Ihalainen

J-FOR-JOURNAL OF SCIENCE & TECHNOLOGY FOR FOREST PRODUCTS AND PROCESSES, pp. 32-42, 2015.

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Abstract:

This article presents a method to focus the attention of process operators and experts on the most relevant data in a large data base when searching for the root cause of a detected process disturbance. The method is generic in that it analyzes control loops individually based on their signal triplets of set-point, measurement, and contro...More

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