齿轮箱升降速过程中的振动信号包含有重要的参考信息,研究该过程中的振动信号,有助于识别齿轮箱的故障．将常规的倒谱分析技术与阶次分析相结合,提出了阶次倒谱的齿轮箱故障诊断方法．首先利用重采样技术,将时域非平稳信号转化为角域平稳信号,最后对角域重采样信号进行倒阶次谱分析,就可提取齿轮的故障特征．实验分析结果表明该方法能有效地识别齿轮的故障类型．图8,表1,参8． Vibration signals during gear-up and deceleration of the gearbox contain important reference information to study the vibration signals in the process and help to identify gearbox faults. Combining the conventional cepstrum analysis with order analysis, a gearbox cepstrum fault diagnosis method is proposed. First of all, using the resampling technique, the time domain non-stationary signal is transformed into the angular domain stationary signal, and finally the angular domain re-sampled signal is subjected to the inverse order spectral analysis to extract the fault characteristics of the gear. Experimental results show that the method can effectively identify the type of gear failure. Figure 8, Table 1, reference 8.