Data mining

Fundamentals of a recommendation system for the aluminum extrusion process based on data-driven modeling

by

Fundamentals of a recommendation system for the aluminum extrusion process based on data-driven modeling Marcin Perzyk, Andrzej Kochański, Jacek Kozłowski Warsaw University of Technology, Institute of Materials Processing, Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2022.4.0782 Abstract: The aluminum profile extrusion process is briefly characterized in the paper, together with the presentation of historical, automatically recorded data. The initial … Read more

Control method of winding quality in shrink sleeve labels converting process

by

Control method of winding quality in shrink sleeve labels converting process Krzysztof Krystosiak, Wojciech Werpachowski Faculty of Production Engineering, Warsaw University of Technology. DOI: https://doi.org/10.7494/cmms.2015.3.0545 Abstract: In manufacturing practices of most big printing companies there are collected data and records of process parameters. Gathering information from this data in form of developed models and rules … Read more

Selection of significant visual features for classification of scales using boosting trees model

by

Selection of significant visual features for classification of scales using boosting trees model Szymon Lechwar ArcelorMittal Poland, Hot Rolling Mill in Kraków, ul. Ujastek 1, 30-969 Kraków. DOI: https://doi.org/10.7494/cmms.2013.2.0444 Abstract: The subject of this paper is to design and implement an efficient model for various kinds of scales recognition at the Hot Rolling Mill (HRM) … Read more

Data preparation

by

Data preparation Andrzej Kochański Instytut Technik Wytwarzania, Politechnika Warszawska. DOI: https://doi.org/10.7494/cmms.2010.1.0273 Abstract: The paper presents the current state of the art in the area of data preparation. It proposes a complete methodology for industrial data preparation, as well as a nomenclature connected with the proposed methodology. The reasons behind the need to develop a new … Read more

Applicability of decision trees in manufacturing industry

by

Applicability of decision trees in manufacturing industry Marcin Perzyk, Robert Biernacki, Artur Soroczyński Warsaw University of Technology, Institute of Materials Processing, Narbutta 85, 02-524 Warszawa. DOI: https://doi.org/10.7494/cmms.2008.2.0189 Abstract: In manufacturing companies large amounts of data are collected and stored, related to designs, products, equipment, materials, manufacturing processes etc. Utilization of that data for improvement of … Read more

Comparison of statistical and neural networks-based methods in analysis of significance and interaction of manufacturing processes parameters

by

Comparison of statistical and neural networks-based methods in analysis of significance and interaction of manufacturing processes parameters Marcin Perzyk, Jacek Kozłowski Warsaw University of Technology. DOI: https://doi.org/10.7494/cmms.2006.2.0100 Abstract: Due to development of computer techniques, large amounts of data are collected and stored in many manufacturing companies, related to designs, products, equipment, materials, manufacturing processes etc. … Read more