Method of Operational Diagnostics of Metal Cutting Machine Modules

Abstract

The work is devoted to solving the problem online diagnostics of machine tools modules using data-based models. The authors propose a diagnostic method that includes models based on long short-term neural memory networks as a repository of frequency reference values. An experimental result of the application is given.