DocumentCode
2895258
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
fYear
1996
fDate
35240
Firstpage
42522
Lastpage
42524
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;
fLanguage
English
Publisher
iet
Conference_Titel
Software in Measurement, IEE Colloquium on (Digest No: 1996/147)
Conference_Location
London
Type
conf
DOI
10.1049/ic:19960872
Filename
574634
Link To Document