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机译:基于MMEMD和DE_ELM的轴承故障诊断方法
Henan Inst Technol Sch Elect Engn & Automat Xinxiang Henan Peoples R China;
Henan Inst Technol Sch Elect Engn & Automat Xinxiang Henan Peoples R China;
Henan Inst Technol Sch Elect Engn & Automat Xinxiang Henan Peoples R China;
Henan Inst Technol Sch Elect Engn & Automat Xinxiang Henan Peoples R China;
Yanshan Univ Inst Elect Engn Qinhuangdao Hebei Peoples R China;
machine bearings; Hilbert transforms; wind turbines; mechanical engineering computing; fault diagnosis; learning (artificial intelligence); entropy; evolutionary computation; feedforward neural nets; signal processing; pattern classification; MMEMD; differential evolution algorithm; DE_ELM; masking signals; low-frequency components; high-frequency components; fault signals; fault feature; fault classification model; intrinsic mode functions; multimasking empirical mode decomposition; extreme machine learning; sample entropy; wind turbine bearing fault diagnosis;
机译:用于快速轴承故障诊断的新稀疏图的设计:两个相关手稿的第1部分,它们的共同标题为“使用新颖稀疏度测量的两种基于振动的自动故障诊断方法-第1部分和第2部分”
机译:一种新的基于校正系列带选择方法,用于断层脉冲干扰下的轴承故障诊断
机译:基于加速度传感器的轴承故障的个性化诊断方法和有限元仿真驾驶支持向量机
机译:基于MMEMD和DE_ELM的轴承故障诊断方法
机译:滚动轴承的故障检测,诊断和预测:频域方法和隐马尔可夫建模。
机译:基于特征融合的轴承故障特征提取与故障诊断方法
机译:基于MMEMD和DE_ELM的轴承故障诊断方法