The analysis of emerging failures of process control systems based on data mining

Abstract

Data analysis performed with the use of data mining methods is nowadays very current in the field of industry. The results of this data analysis can bring new knowledge which can be applicable to a given manufacturing process and thus contribute to streamlining process management. This paper aims at the data analysis of failures emerging in the industrial process with the use of data mining methods. The reference data used for the data analysis were collected from the real production process in the automotive industry area. The first part of this paper is devoted to the process of understanding the collected data and the data structure, as well as the production process itself. Next part of this paper deals with the data analysis which was performed using appropriate data mining methods. The results of these data analyzes are summarized and represented in the last part of this paper.