基于包络同步平均的齿轮故障诊断  

Gear fault diagnosis based on envelope synchronous average

作　　者：李云[1] 郭瑜[1] 那靖[1] 李宗涛[1] 于宪军[1] 

机构地区：[1]昆明理工大学机电工程学院,昆明650500

出　　处：《振动与冲击》2013年第19期17-21,62,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金(61203066)

摘　　要：齿轮振动信号由于存在非平稳、调制、传递路径复杂等特点,其分析相对较为困难,传统的共振解调法还存在共振带参数无法准确确定的不足。为解决上述问题,提出了一种基于包络信号角域同步平均的齿轮故障诊断方法。该方法首先利用谱峭度提取出齿轮振动信号的复包络信号,再分别选取齿轮箱中不同转轴作为参考轴对复包络信号进行等角度采样,在角域进行同步平均并用阶比跟踪提取齿轮故障信息。该方法可有效消除源包络信号中的宽带噪声干扰,分离出与故障齿轮所在轴有关的阶比分量,同时可克服转速波动对信号分析产生的频率模糊现象。利用该方法分别对齿轮故障仿真信号和齿轮故障振动信号进行了分析,结果表明,所提出的包络角域同步平均方法能够有效地提取出齿轮故障的特征信息。Due to non-stationary, modulation, and complex transmission path, vibrations of gears are more difficult to analysis. Moreover, the parameters of resonance demodulation can not be accurately determined in the traditional envelope analysis for gear vibration. An envelope synchronous average method in angular domain was proposed here for gear fault detection. With the proposed approach, the fast kurtogram algorithm was utilized to extract complex envelope signal of a gear vibration signal adaptively at first. Then, the complex envelope signal was re-sampled with the even-angle sampling scheme for different reference shafts. Lastly, the order analysis was employed to extract gear fault features after the envelope synchronous average was performed in angular domain. In this way, the broadband noise was eliminated effectively, the gear fault order components were extracted from the original vibration signal, and the frequency blur caused by rotating speed fluctuation was also overcome. Simulations and tests were conducted respectively to verify the validity of the proposed method.

关 键 词：包络分析 同步平均 角域 阶比跟踪 齿轮故障 

分 类 号：TH133.33[机械工程—机械制造及自动化]