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Tamminen S. et al. (2018) From Measurements to Knowledge - Online Quality Monitoring and Smart Manufacturing. In: Perner P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2018. Lecture Notes in Computer Science, vol 10933. Springer, Cham

From measurements to knowledge : online quality monitoring and smart manufacturing

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Author: Tamminen, Satu1; Tiensuu, Henna1; Ferreira, Eija1;
Organizations: 1University of Oulu / BISG, Oulu, Finland
2VTT, Oulu, Finland
3SSAB Europe, Raahe, Finland
4Outokumpu Stainless, Tornio, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020042019319
Language: English
Published: Springer Nature, 2018
Publish Date: 2020-04-20
Description:

Abstract

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.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN Print: 978-3-319-95785-2
Pages: 17 - 28
DOI: 10.1007/978-3-319-95786-9_2
OADOI: https://oadoi.org/10.1007/978-3-319-95786-9_2
Host publication: Advances in Data Mining. Applications and Theoretical Aspects 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings
Host publication editor: Perner, P.
Conference: Industrial Conference on Data Mining
Type of Publication: A4 Article in conference proceedings
Field of Science: 216 Materials engineering
213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
Subjects:
Data mining
Knowledge representation
Machine learning
Online monitoring
Quality prediction
Smart manufacturing
Article
Copyright information: © Springer International Publishing AG, part of Springer Nature 2018. This is a post-peer-review, pre-copyedit version of an article published in Advances in Data Mining. Applications and Theoretical Aspects 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-95786-9_2