机译:基于EEMD样品熵和PNN的滚动轴承故障诊断
Beijing Informat Sci & Technol Univ Minist Educ Key Lab Modern Measurement & Control Technol Beijing Peoples R China;
Beijing Informat Sci & Technol Univ Minist Educ Key Lab Modern Measurement & Control Technol Beijing Peoples R China;
Beijing Informat Sci & Technol Univ Minist Educ Key Lab Modern Measurement & Control Technol Beijing Peoples R China;
Beijing Informat Sci & Technol Univ Minist Educ Key Lab Modern Measurement & Control Technol Beijing Peoples R China;
fault diagnosis; neural nets; rolling bearings; vibrational signal processing; Hilbert transforms; probability; ensemble empirical mode decomposition sample entropy; probabilistic neural network; kurtosis model; rolling bearing fault diagnosis method; nonlinear signal; nonsteady signal; IMF model;
机译:基于CEEMD和LDWPSO-PNN的滚动轴承特征提取与诊断
机译:基于EEMD和云模型特征熵的滚动轴承故障信号特征提取方法
机译:基于HVD算法和样本熵的滚动轴承故障诊断
机译:基于EEMD样品熵和PNN的滚动轴承故障诊断
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EEMD-WST信号重建和多尺度熵的滚动轴承故障诊断方法
机译:基于EEmD和云模型特征熵的滚动轴承故障信号特征提取方法