最后，将该方法用于轴承故障信号和齿轮故障信号的分析。
Finally, the practical fault diagnosis examples of roll bearing and gear box are given.
研究表明，齿轮运动信号分解能够有效检测齿轮的各类故障，高阶加速度信号对齿轮某些类型的早期故障更加敏感。
Experimental results show that gear vibration signal decomposition can detect different faults, and high-order acceleration signals are more sensitive to certain type of fault.
利用双正交小波基将齿轮的故障振动信号分解到时频域，并提取出齿轮的故障特征。
This paper mainly introduces that the fault vibrating signal of gears was decomposed into time-frequency domains by double-orthogonal wavelet analysis and the fault feature of gears was picked up.
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