Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning

Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning

A Steel Plate Rolling Mill (SPM) is a milling machine that uses rollers to press hot slab inputs to produce ferrous or non-ferrous metal plates. To produce high-quality steel plates, it is important to precisely detect and sense values of manufacturing factors including plate thickness and roll forc...

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Bibliographic Details
Main Authors: Cheol Young Park, Jin Woog Kim, Bosung Kim, Joongyoon Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Intelligent manufacturing systems
machine learning
regression analysis
steel industry
thickness control
Online Access:https://ieeexplore.ieee.org/document/9046761/

Internet

https://ieeexplore.ieee.org/document/9046761/

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