基于阶次双谱分析的齿轮故障诊断研究

针对齿轮箱升降速过程中振动信号非平稳的特点，将双谱分析技术与阶次谱分析相结合，提出了阶次双谱的齿轮箱故障诊断方法．首先对齿轮箱升降速瞬态振动信号进行时域等时间间隔采样，再对时域信号实行等角度间隔重采样，转化为角域平稳信号，最后对角域重采样信号进行双谱分析，就可提取齿轮的故障特征．通过对齿轮齿根裂纹故障实验信号的分析，表明阶次双谱分析能有效地诊断齿轮的裂纹故障．

Gear Fault Diagnosis Based on Order Bispectrum Analysis

Varying speed machinery condition detection and fault diagnosis are more difficult due to non-stationary machine dynamics and vibration. Therefore, most conventional signal processing method based on invariant carried out in constant time intervals are frequently unable to provide meaningful results. In order to process the non-stationary vibration signals such as speed-up or speed-down signals effectively, the order bispectrum analysis technique is presented. This new method combines order tracking technique with bispectrmn analysis. Firstly, the vibration signal is sampled at constant time increments and then uses software to resample the data at constant angle increments. Therefore, the time domain transient signal is transformed into angle domain , stationary signal. In the end, the resample signals are processed by bispectrum analysis method. The experimental results show that order bispectrum analysis can effectively diagnosis the faults of the gear crack.