Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill

Samuel Latham, Cinzia Giannetti

2022

Abstract

Data is one of the most valuable assets a manufacturing company can possess. Historical data in particular has much potential for use in automated data-driven decision-making which can result in more efficient and sustainable processes. Although the technology and research behind data-driven systems for Root Cause Analysis has developed vastly over decades, their use for real time automated detection of root causes within steel manufacturing has been limited. Typically, root cause analysis still involves a lot of human interaction both in the pre-processing and data analysis phases, which can lead to variability in results and cause delay when devising corrective actions. In this paper, an application for automated Root Cause Analysis in an Hot Strip Mill is proposed for the purpose of demonstrating the effectiveness of such an approach against a manual approach. The proposed approach classifies temperature defects of steel strip Width Pull using a variety of machine learning algorithms in conjunction with k-fold cross validation.

Paper Citation

in Harvard Style

Latham S. and Giannetti C. (2022). Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL, ISBN 978-989-758-612-5, pages 36-45. DOI: 10.5220/0011380300003329

in Bibtex Style

@conference{in4pl22,
author={Samuel Latham and Cinzia Giannetti},
title={Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,},
year={2022},
pages={36-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011380300003329},
isbn={978-989-758-612-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,
TI - Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill
SN - 978-989-758-612-5
AU - Latham S.
AU - Giannetti C.
PY - 2022
SP - 36
EP - 45
DO - 10.5220/0011380300003329