机译:基于声发射条件的监测系统的一种新的基于鲁棒自动FFT的鲁棒自动分段和特征选择算法
School of Electronic, Electrical and Systems Engineering, Faculty of Engineering, Loughborough University, P.O. Box LE11 3TU, Leicestershire, UK,Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar;
School of Electronic, Electrical and Systems Engineering, Faculty of Engineering, Loughborough University, P.O. Box LE11 3TU, Leicestershire, UK;
Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar;
Condition based monitoring; Segmentation algorithm; Features selection; Centrifugal equipment and fault detection;
机译:基于FFT的分割,特征选择和机器故障识别算法的鲁棒性分析
机译:基于声发射信号特征优化算法的结构条件监测与激光覆层金属板的识别
机译:从声发射信号中提取和选择特征,并将其应用于砂轮状态监测
机译:基于声发射的太阳能电力系统电力电子设备的状态监测技术
机译:基于遗传算法的特征选择与决策融合,用于鲁棒遥感影像分析
机译:基于自适应特征选择高斯混合模型的局部邻域鲁棒模糊聚类图像分割算法
机译:基于LPC和FFT的声学特征的对比,可实现强大的噪声ASR
机译:基于标记的方法从一组图像分割中自动选择单个分割