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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

vedecké práce materiálovotechnologickej fakulty slovenskej technickej univerzity v bratislave so sídlom v trnave/vedecké práce materiálovotechnologickej fakulty slovenskej technickej univerzity v bratislave so sídlom v trnave

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