针对滚动轴承全寿命周期试验数据，采用滑动平均法对原始信号平滑后求其时域特征图，可用于轴承性能退化评估的研究-Experimental data for the entire life cycle of rolling bearings, using the moving average method to study after the original time-domain signal smoothing seeking the feature map, can be used for b

读取轴承全寿命周期中的每组数据，并对其进行多域特征提取，包括时域和频域特征提取，用于轴承性能退化评估的研究很有用，自己亲手调试成功-Read bearing the full life cycle of each set of data, and extract its multi-domain characteristics, including time domain and frequency domain feature extraction for bearing performanc