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机译:基于VMD和随机林的主轴性能降解评价方法
Beijing Informat Sci & Technol Univ Sch Mech & Elect Engn Beijing 100192 Peoples R China|Beijing Informat Sci & Technol Univ Key Lab Modern Measurement & Control Technol Beijing 100192 Peoples R China;
Beijing Informat Sci & Technol Univ Sch Mech & Elect Engn Beijing 100192 Peoples R China|Beijing Informat Sci & Technol Univ Key Lab Modern Measurement & Control Technol Beijing 100192 Peoples R China|Beijing Informat Sci & Technol Univ Beijing Key Lab Mech Elect Syst Measurement & Con Beijing 100192 Peoples R China;
vibrations; frequency-domain analysis; machine tool spindles; time-domain analysis; eigenvalues and eigenfunctions; machine tools; feature extraction; mechanical engineering computing; condition monitoring; RF algorithm; eigenvalues; modes component; frequency domain features; time domain; modal components; variational mode decomposition; degradation evaluation; performance degradation degree; machine tool quality; core components; random forests; spindle performance degradation; VMD;
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机译:基于VMD和随机林的主轴性能降解评价方法
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机译:睡眠主轴检测:众包和评估专家非专家和自动化方法的性能
机译:基于VMD-AR模型和随机林分类器的滚动轴承故障诊断方法