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Preparation and Cluster Analysis of Data from the Industrial Production Process for Failure Prediction

Author

Listed:
  • Németh Martin
  • Michaľčonok German

    (Institute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic)

Abstract

This article is devoted to the initial phase of data analysis of failure data from process control systems. Failure data can be used for example to detect weak spots in a production process, but also for failure prediction. To achieve these goals data mining techniques can be used. In this article, we propose a method to prepare and transform failure data from process control systems for application of data mining algorithms, especially cluster analysis.

Suggested Citation

  • Németh Martin & Michaľčonok German, 2016. "Preparation and Cluster Analysis of Data from the Industrial Production Process for Failure Prediction," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 24(39), pages 111-116, December.
    • Handle: RePEc:vrs:repfms:v:24:y:2016:i:39:p:111-116:n:14
    DOI: 10.1515/rput-2016-0024
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