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Lookup NU author(s): Dr Yougeshwar Bissessur,
Professor Elaine Martin,
Emeritus Professor Julian Morris
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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.
Author(s): Bissessur Y, Martin EB, Morris AJ
Publication type: Article
Publication status: Published
Journal: Control Engineering Practice
Print publication date: 18/11/1999
ISSN (print): 0967-0661
ISSN (electronic): 1873-6939
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