中国机械工程

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局部特征尺度分解结合局部均值解调的齿轮故障诊断

崔伟成;许爱强;李伟;孟凡磊   

  1. 海军航空工程学院,烟台,264001
  • 出版日期:2016-12-25 发布日期:2016-12-28
  • 基金资助:
    国家部委预研基金资助项目(9140A27020214JB1446)

Gear Fault Diagnosis Based on LCD and LME Demodulation Approach

Cui Weicheng;Xu Aiqiang;Li Wei;Meng Fanlei   

  1. Naval Aeronautical and Astronautical University,Yantai,Shandong,264001
  • Online:2016-12-25 Published:2016-12-28

摘要: 为了准确地进行故障诊断,根据齿轮故障振动信号的多分量调幅-调频特征,提出了一种新的解调方法——局部均值解调法,将之与局部特征尺度分解相结合进行齿轮故障诊断。该诊断方法首先对齿轮振动信号运用局部特征尺度分解,得到若干个内禀尺度分量,然后应用局部均值解调法求取每个分量的调频分量,最后根据瞬时频率的频谱进行故障诊断。采用仿真信号将局部均值解调法与Hilbert解调法、经验调幅调频分解法进行了对比,结果表明,局部均值解调法的精确性更好。通过齿轮故障振动数据的分析,验证了局部特征尺度分解结合局部均值解调的故障诊断方法的有效性。

关键词: 局部特征尺度分解, 局部均值解调, 瞬时频率谱, 齿轮故障诊断

Abstract: In order to diagnose the gear fault accurately, according to the amplitude-modulated and frequency-modulated characteristics of the gear fault vibration signals a modle was proposed based on LCD and LME. Firstly,the original vibration signals were disposed by LCD.Secondly, the intrinsic mode components of LCD were envelope demodulated by LME. Finally, the gear faults were diagnosed by the instantaneous frequency spectrum. The analysis of the simulated data shows that the LME mode may get more accurate results of instantaneous amplitude and instantaneous frequency than that of Hilbert mode and empirical AM-FM decomposition mode. The analysis of gear fault data shows that the method based on LCD and LME may realize the fault diagnosis effectively.

Key words: local characteristic-scale decomposition(LCD), local mean envelope(LME) demodulation, instantaneous frequency spectrum, gear fault diagnosis

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