基于倒阶次谱分析的齿轮故障诊断研究

针对齿轮箱升速过程中振动信号非平稳的特点，将常规的倒谱分析技术与阶次谱结合，提出了倒阶次谱的齿轮箱故障诊断方法。首先对齿轮箱升降速瞬态信号进行时域同步采样，再对时域信号实行等角度重采样，转化为角域平稳信号，最后对角域重采样信号进行倒谱分析，就可提取齿轮的故障特征。通过对齿轮齿根裂纹和齿面磨损故障实验信号的分析，表明该方法能有效地诊断齿轮的故障。

Gear Fault Diagnosis Based on Order Cepstrum Analysis

In order to process the non-stationary vibration signals such as speed up or speed down signals effectively, the order cepstrum analysis technique is presented. The new method combines order tracking technique with cepstrum analysis. The vibration signal is sampled at constant time increments and then processed to resample the data at constant angle increments. Therefore, the time domain transient signal is changed into angle domain stationary signal. The resampled signals are further processed by cepstrum analysis. The experimental results show that order cepstrum analysis can effectively detect the fault of gear crack.