机译:基于圆域特征的低速回转支承状态监测
School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Wollongong, New South Wales 2522, Australia,Mechanical Engineering Department, Diponegoro University, Tembalang, Semarang 50275, Indonesia;
School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Wollongong, New South Wales 2522, Australia;
School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Wollongong, New South Wales 2522, Australia;
School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Wollongong, New South Wales 2522, Australia;
Circular domain features; Condition monitoring; Low speed slewing bearing; Piecewise aggregate approximation;
机译:基于振动的状态监测中特征提取方法的综述及其在低速滑动轴承退化趋势估计中的应用
机译:基于振动的状态监测中特征提取方法的综述及其在低速滑动轴承退化趋势估计中的应用
机译:数学形态学算子作为特征提取方法在低速回转轴承状态监测中的应用
机译:基于最大Lyapunov指数算法和循环域特征提取的低速回转轴承的状态监测
机译:低速监测和检测轴承缺陷转动机=以低速运行的轴承的监测和故障检测
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:基于振动的状态监测特征提取方法及其在低速回转轴承退化趋势估计中的应用综述