This paper presents a 112 dimension spectrum based method for fault diagnosis in rolling element bearings.
提出了基于112维谱的滚动轴承故障诊断新方法。
In this paper, a freight car rolling element bearings fault diagnosis method based on Empirical Mode Decomposition(EMD) and adaptive short_time Fourier transform(STFT) is proposed.
提出了一种结合经验模态分解（EMD）和自适应短时傅里叶变换（STFT）的铁路货车滚动轴承故障诊断方法。
Based on the vibration analysis of AE signals under varying load and rotating speed, the patterns of damage vibration of rolling element bearings under varying load and rotating speed were researched.
对各典型状态滚动轴承在不同转速和载荷下的声发射信号进行了振动分析，研究了滚动轴承的损伤振动随转速和载荷的变化规律。
Based on the vibration analysis of AE signals under varying load and rotating speed, the patterns of damage vibration of rolling element bearings under varying load and rotating speed were researched.
对各典型状态滚动轴承在不同转速和载荷下的声发射信号进行了振动分析，研究了滚动轴承的损伤振动随转速和载荷的变化规律。
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