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中文摘要：
提出基于均值包络本征时间尺度分解（ITD）和谱峭度的特征频率提取方法。用于轴承故障诊断中，振动信号经均值包络ITD分解和重构，通过谱峭度选取故障共振频率带，最后比较包络谱与特征频率做出故障诊断。对美国凯斯西储大学滚动轴承数据的处理结果证明，该方法得到的谱线更加明显，诊断更加准确。
英文摘要：
A feature frequency extraction method based on mean envelope ITD and spectral kurtosis is proposed. Was applied to the bearing fault diagnosis, the vibration signal was first decomposed and reconstructed by the mean lTD. Then the resonance frequency band was selected automatically through the spectrum kurtosis. Finally, the bearing fault could be diagnosed by comparing the envelope spectrum and the characteristic frequency. The analysis result to the data from Case Western Reserve University bearing center and real project proves that it could get more obvious spectrum and more accurate diagnosis by the mean envelope ITD and spectral kurtosis method.
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