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A framework for data analysis and modelling: Industrial case study at Corus UK Plc

Lookup NU author(s): Tom Musicka, Professor Elaine Martin


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A generic framework for empirical process data modelling is proposed. It covers the tasks of data collection through to data analysis, data exploration, model development, validation and prediction, on-line operation and model up-dating. The system is applied to an industrial application, the prediction of mechanical properties of hot strip rolled steel.

Publication metadata

Author(s): Musicka T, Morris J, Martin E, Kitson P

Editor(s): McNulty, GJ

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 5th International Conference on Quality, Reliability, and Maintenance (QRM 2004)

Year of Conference: 2004

Pages: 163-166

Publisher: Wiley-Blackwell

Library holdings: Search Newcastle University Library for this item

ISBN: 1860584403