机译:基于时域和频域特征提取和ANFIS的电动机滚动轴承故障检测
Islamic Azad Univ, Dept Elect Engn, Marvdasht Branch, Marvdasht, Fars, Iran;
Islamic Azad Univ, Dept Elect Engn, Marvdasht Branch, Marvdasht, Fars, Iran;
feature extraction; frequency-domain analysis; rolling bearings; condition monitoring; fault diagnosis; vibrations; fuzzy neural nets; fuzzy reasoning; vibrational signal processing; electric motor; frequency domain features extraction; intelligent fault detection systems; fault diagnosis; production units; vibration analysis; electrical equipment; machinery condition monitoring; defect detection; vibration signals; adaptive neuro-fuzzy interface system; frequency-domain statistical characteristics; fault information; ANFIS network; rolling bearing fault detection; time domain features; classification performance;
机译:使用时域和频域的电动机滚动轴承故障检测提取和ANFIS
机译:基于增强型互补经验模式分解的滚动轴承故障特征提取与诊断,自适应噪声和统计时域特征
机译:时域特征的基于神经网络的滚动轴承故障诊断
机译:基于小波包分解的滚动元件轴承故障信号频率域特征提取方法的研究
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:基于增强型互补经验模式分解的滚动轴承故障特征提取与诊断,自适应噪声和统计时域特征
机译:从频域计算的时域频率稳定性描述:使用sIGINT软件包从频域计算时域频率稳定性