机译:基于正交邻域保留嵌入和adaboost_svm算法的敏感特征集的模式识别滚动轴承早期故障诊断
China Three Gorges Univ Hubei Key Lab Hydroelect Machinery Design &
Maint Yichang 443002 Peoples R China;
China Three Gorges Univ Hubei Key Lab Hydroelect Machinery Design &
Maint Yichang 443002 Peoples R China;
Chongqing Univ State Key Lab Mech Transmiss Chongqing 400030 Peoples R China;
China Three Gorges Univ Hubei Key Lab Hydroelect Machinery Design &
Maint Yichang 443002 Peoples R China;
China Three Gorges Univ Hubei Key Lab Hydroelect Machinery Design &
Maint Yichang 443002 Peoples R China;
pattern recognition; wavelet packet; orthogonal neighborhood preserving embedding; Adaboost_SVM; rolling bearing;
机译:基于正交邻域保留嵌入和adaboost_svm算法的敏感特征集的模式识别滚动轴承早期故障诊断
机译:改进的邻域保留嵌入和最大重叠离散小波包变换并带有敏感特征选择的滚动轴承故障诊断
机译:基于核邻域粗糙集和统计特征的滚动轴承智能故障诊断
机译:基于敏感特征选择和非线性特征融合的滚动轴承故障诊断方法
机译:旋转机械中滚动轴承故障的分析:实验,建模,故障检测和诊断。
机译:基于自适应噪声和统计时域特征的增强型互补经验模态分解的滚动轴承故障特征提取与诊断
机译:智能诊断滚动轴承复合故障基于设备状态词典集稀疏分解特征提取 - 隐藏马尔可夫模型