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Updated: Mar 15, 2026

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使用多域声学特征和SHAP增强的梯度增强模型,对AISI 316L的基于声音的工具磨损分类

Savaş Koç1, Mehmet Şükrü Adin2, Ramazan İlenç1

  • 1Engineering Faculty, Batman University, Batman 72100, Turkey.

Materials (Basel, Switzerland)
|March 14, 2026
PubMed
概括

本研究使用声音分析和梯度增强模型来对不钢加工中的工具磨损进行分类. 该方法准确地识别了工具条件,为制造质量控制提供了低成本,无接触的解决方案.

关键词:
在 CatBoost 中使用 CatBoost.轻GBMM 轻GBM 轻GBM 轻GBM基于SHAP的特征选择.在XGBoost上使用.声学信号分析 声学信号分析梯度提升模型的模型.多域特征提取多域特征提取工具磨损分类工具磨损分类

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