Leveraging Machine Learning Insights at the Hot Strip Rolling Mill, Tata Steel, Port Talbot
Author:
Affiliation:
1. Swansea University,Faculty of Science and Engineering,Swansea,UK
2. Hot Rolled Products Tata Steel UK Ltd,Port Talbot,UK
Funder
EPSRC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10560479/10560519/10560883.pdf?arnumber=10560883
Reference12 articles.
1. Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation
2. A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill
3. Fault Location of Strip Steel Surface Quality Defects on Hot-Rolling Production Line Based on Information Fusion of Historical Cases and Process Data
4. Local multi-model integrated soft sensor based on just-in-time learning for mechanical properties of hot strip mill process
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