运用阶次跟踪和奇异谱降噪诊断齿轮早期故障
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    摘要:

    针对齿轮箱升降速过程中振动信号非平稳的特点,将阶次跟踪分析与奇异谱降噪技术相 结合,提出了一种针对齿轮早期故障的诊断方法。首先对齿轮箱加速时测得的瞬态信号进行 时域采样,再对时域信号进行等角域重采样,转化为角域伪稳态信号;然后对角域信号进行奇 异谱降噪处理,以减小背景噪声的影响;最后对降噪后的信号进行阶次谱分析。通过对齿轮箱 早期故障信号的分析表明,该方法能准确地识别出齿轮的故障特征。

    Abstract:

    Abstract In order to process the non-stationary vibration signals such as speed up or speed down effectively, this new method, which combined order tracking technique with singular spectrum denoise, are presented to diagnose the early stage fault signals of gearbox. Firstly, the vibration signals are sampled at constant time increments, and then used software to resample the data at constant angle increments. Therefore, the time-domain transient signals are changed into angle-domain pseudo-stationary ones. Second, the signals in angle-domain are analyzed with singular spectrum denoise. At last, the signals after denoising are analyzed with order tracking analysis. The experimental results show that combined order tracking analysis with singular spectrum denoise can effectively diagnose the faults character of the gear through analyzing the early stage fault signals of gearbox.

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  • 收稿日期:2009-01-05
  • 最后修改日期:2009-01-05
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