Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior

Gregor Lammer; Ronald Lanzenberger; Andreas Rom; Ashraf Hanna; Manuel Forrer; Markus Feuerstein; Franz Pernkopf; Nikolaus Mutsam

Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior

Gregor Lammer, Ronald Lanzenberger, Andreas Rom, Ashraf Hanna, Manuel Forrer, Markus Feuerstein, Franz Pernkopf, Nikolaus Mutsam

Institute of Signal Processing and Speech Communication (4420)

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents an approach to discover patterns in big data sets and applying methods of artificial intelligence (AI) for interpretation. The paper will present the use of AI to identify the main refractory wear mechanism in the hot spots and to predict the refractory behavior. Further, this intelligent system is applied to analyze and compare different maintenance philosophies. As an example of the impact on daily operations in steel plants, a daily report is presented, which provides all the necessary key information when a refractory-related decision is to be made. The paper also examines and discusses the operational impact and future applications.

Original language	English
Pages (from-to)	52-60
Number of pages	9
Journal	Iron & Steel Technology
Volume	15
Issue number	9
Publication status	Published - 1 Sept 2018

ASJC Scopus subject areas

Mechanics of Materials
Mechanical Engineering
Metals and Alloys
Materials Chemistry

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https://digital.library.aist.org/download/PR-PM0918-3.25231.pdf

Cite this

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title = "Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior",

abstract = "This paper presents an approach to discover patterns in big data sets and applying methods of artificial intelligence (AI) for interpretation. The paper will present the use of AI to identify the main refractory wear mechanism in the hot spots and to predict the refractory behavior. Further, this intelligent system is applied to analyze and compare different maintenance philosophies. As an example of the impact on daily operations in steel plants, a daily report is presented, which provides all the necessary key information when a refractory-related decision is to be made. The paper also examines and discusses the operational impact and future applications.",

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AU - Lammer, Gregor

AU - Lanzenberger, Ronald

AU - Rom, Andreas

AU - Hanna, Ashraf

AU - Forrer, Manuel

AU - Feuerstein, Markus

AU - Pernkopf, Franz

AU - Mutsam, Nikolaus

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N2 - This paper presents an approach to discover patterns in big data sets and applying methods of artificial intelligence (AI) for interpretation. The paper will present the use of AI to identify the main refractory wear mechanism in the hot spots and to predict the refractory behavior. Further, this intelligent system is applied to analyze and compare different maintenance philosophies. As an example of the impact on daily operations in steel plants, a daily report is presented, which provides all the necessary key information when a refractory-related decision is to be made. The paper also examines and discusses the operational impact and future applications.

AB - This paper presents an approach to discover patterns in big data sets and applying methods of artificial intelligence (AI) for interpretation. The paper will present the use of AI to identify the main refractory wear mechanism in the hot spots and to predict the refractory behavior. Further, this intelligent system is applied to analyze and compare different maintenance philosophies. As an example of the impact on daily operations in steel plants, a daily report is presented, which provides all the necessary key information when a refractory-related decision is to be made. The paper also examines and discusses the operational impact and future applications.

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ER -

Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior

Abstract

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