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通过特征选择方法提高滚滚制造系统中旋转元件的诊断,考虑重叠数据密度和距离分析.

Haemi Lee1, Yoonjae Lee1, Minho Jo1

  • 1Department of Mechanical Design and Production Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05030, Republic of Korea.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究引入了一种新的特征选择方法,特征部分密度,以改善卷对卷制造缺陷的诊断模型. 拟议的方法提高了生产线中缺陷检测的准确性和效率.

关键词:
功能选择 功能选择功能性片是一种功能性片.机器学习是机器学习.卷对卷制造系统的制造系统旋转元件诊断 旋转元件诊断

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