Optimised LightGBM-based health condition evaluation method for the functional components in CNC machine tools under strong noise background
Li Jia,
He Jialong,
Shen Wanghao
et al.
Abstract:The accurate health condition evaluation of the functional components in computer numerical control (CNC) machine tools is an important prerequisite for predictive maintenance and fault warning. The vibration signals of the functional components in CNC machine tools often contain substantial noise, impeding the extraction of relevant health condition information from the vibration signals. This work presents an approach that leverages the variational mode decomposition (VMD) enhanced by the Artificial Hummingb… Show more
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