A case study of predictive maintenance using data analysis for a flexible manufacturing line

Carmen Stan


Abstract – In the last decades, the manufacturing industry has been in continuous development with technological breakthrough and enhancements. The purpose of enhancing production efficiency it is directly linked with the trend in costumers’ requirements, needs, product competition and availability on the market. This paper presents a predictive maintenance strategy based on data analytics for a flexible production line using the historical warning errors of the equipment of the line to achieve a condition-based maintenance plan.

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