Development of an integrated software system that utilizes the artificial intelligence-based prediction and discrete event simulation for the problems of maintenance planning and scheduling.
Development of prediction and optimization algorithms for the maximization of the tool life and manufacturing quality through processing the data of past operations with the application of artificial intelligence methods.
Development of the prediction of cutting force and tool wear and optimization of the machining process using digital image processing and machine learning methods in the case of machining of polymer composites.
“Prognostics based Reliability Analysis for Maintenance Scheduling”, European research project, EU H2020-FOF, contract number: 767287. Planned duration: 1 Oct. 2017 – 31 March 2021
