Abstract

A rapid recognition of CNC (Computer Numerical Control) machine tools’ running state based on time domain characteristic parameters and frequency domain correlation coefficient was proposed. The experiment proved the accuracy and efficiency of the mentioned method, which made the states recognition rate reach 93.33% and the identification efficiency improve 66.67%. In this scenario, a theoretical foundation is established for the condition-based maintenance of CNC machine tools.

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