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

Martin Németh; German Michaľčonok

doi:10.1515/rput-2016-0024

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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

Volume 24 (2016): Issue 39 (December 2016)

By: Martin Németh and German Michaľčonok

Open Access

|Apr 2017

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.

References

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Articles in this issue

DOI: https://doi.org/10.1515/rput-2016-0024 | Journal eISSN: 1338-0532 | Journal ISSN: 1336-1589

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Language: English

Page range: 111 - 116

Published online: Apr 4, 2017

Published in print: Dec 1, 2016

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Predictive maintenance,

Related subjects:

Introductions and overviews,

Engineering, other

© 2017 Martin Németh, German Michaľčonok, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 24 (2016): Issue 39 (December 2016)