From Measurements to Knowledge - Online Quality Monitoring and Smart Manufacturing

The purpose of this study was to develop an innovative supervisor system to assist the operators in an industrial manufacturing process to help discover new alternative solutions for improving both the products and the manufacturing process. This paper presents a solution for integrating different t...

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Bibliographic Details
Published inAdvances in Data Mining. Applications and Theoretical Aspects Vol. 10933; pp. 17 - 28
Main Authors Tamminen, Satu, Tiensuu, Henna, Ferreira, Eija, Helaakoski, Heli, Kyllönen, Vesa, Jokisaari, Juha, Puukko, Esa
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Data mining
Knowledge representation
Machine learning
Online monitoring
Quality prediction
Smart manufacturing
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Summary:The purpose of this study was to develop an innovative supervisor system to assist the operators in an industrial manufacturing process to help discover new alternative solutions for improving both the products and the manufacturing process. This paper presents a solution for integrating different types of statistical modelling methods for a usable industrial application in quality monitoring. The two case studies demonstrating the usability of the tool were selected from a steel industry with different needs for knowledge presentation. The usability of the quality monitoring tool was tested in both case studies, both offline and online.
ISBN:9783319957852
3319957856
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-95786-9_2