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西北工业大学 国内
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An accurate detection of tool wear type in drilling process by applying PCA and one-hot encoding to SSA-BLSTM model
Jawad Mahmood,
Ming Luo
, Mudassar Rehman
机电学院
Northwestern Polytechnical University Xian
科研成果
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探究 'An accurate detection of tool wear type in drilling process by applying PCA and one-hot encoding to SSA-BLSTM model' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Principal Component
100%
Component Analysis
100%
Singular Spectrum
100%
Force Signal
50%
Condition Monitoring
50%
Outer Corner
50%
Flank Wear
50%
Numerical Data
50%
Drilling Operation
50%
Crater Wear
50%
Quality Tool
50%
Advanced Manufacturing
50%
Numerical Form
50%
Material Science
Drilling
100%