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Monitoring the performance of the paper making process

Lookup NU author(s): Dr Yougeshwar Bissessur, Professor Elaine Martin, Emeritus Professor Julian Morris

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Abstract

This paper presents two approaches for monitoring the performance of the paper making process. The first uses a neural network vibration-based condition monitoring system for providing advance warning of press felt problems. The characteristics of this system include spectral analysis through acceleration enveloping, a peak detection algorithm as a feature extractor and a neural network classifier. The second approach makes use of multivariate statistical techniques. This involves the generation of a multivariate statistical representation of nominal process behaviour. Process malfunctions are then identified by deviations from the developed model. Both approaches are successfully applied to an industrial paper machine. (C) 1999 Elsevier Science Ltd. All rights reserved.

Publication metadata

Author(s): Bissessur Y, Martin EB, Morris AJ

Publication type: Article

Publication status: Published

Journal: Control Engineering Practice

Year: 1999

Volume: 7

Issue: 11

Pages: 1357-1368

Print publication date: 18/11/1999

ISSN (print): 0967-0661

ISSN (electronic): 1873-6939

Publisher: Pergamon

URL: http://dx.doi.org/10.1016/S0967-0661(99)00105-7

DOI: 10.1016/S0967-0661(99)00105-7

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