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机译:基于声发射的状态监测方法:低速回转支承的回顾与应用
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;
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;
Acoustic emission; Condition monitoring; Feature extraction; Largest Lyapunov exponent (LLE) algorithm; Low speed slew bearing;
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:低速重载回转支承的现状监测与故障诊断方法综述
机译:基于声学的制造过程监测涉及生物材料的制造过程
机译:基于EEMD的稳态指标及其在铁路轴瓦状态监测与故障诊断中的应用
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