Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method
Xing Shui,
Zhijun Rong,
Binbin Dan
et al.
Abstract:Complex, thin-walled components are the most important load-bearing structures in aircraft equipment. Monitoring the wear status of milling cutters is critical for enhancing the precision and efficiency of thin-walled item machining. The cutting force signals of milling cutters are non-stationary and non-linear, making it difficult to detect wear stages. In response to this issue, a system for monitoring milling cutter wear has been presented, which is based on parameterized Variational Mode Decomposition (VMD… Show more
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