Title :
The implementation of a learning classifier system for parameter identification by signal processing of data from steel strip downcoilers
Author :
Browne, W. ; Moore, C. ; Holford, K. ; Bullock, J.
Author_Institution :
Eng. Doctorate Centre, Swansea, UK
Abstract :
The aim of this project is to improve the quality and consistency of coiling in a steel hot strip mill. Signal processing is used to gather information on the parameter characteristics of the mill downcoilers as an aid to operator and engineering decision making. The artificial intelligence (AI) paradigm of learning classifier systems (LCS) is proposed for the signal processing
Keywords :
steel industry; coiling quality; engineering decision making; learning classifier system; mill downcoilers; operator decision making; parameter identification; signal processing; steel hot strip mill; steel strip downcoilers;
Conference_Titel :
Software in Measurement, IEE Colloquium on (Digest No: 1996/147)
Conference_Location :
London
DOI :
10.1049/ic:19960872
