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Gear Fault Diagnoise Based on Ensemble Empirical Mode Decomposition and Instantaneous Energy Density Spectrum

机译:基于集合经验模式分解和瞬时能量密度谱的齿轮故障诊断

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A very short impulse energy called 'impulsion energy' can be produced when the gear meshing with gear pitting fault and excited the resonance of the structure. The common techniques have inconvenience to deal with this vibration signal. A new fault diagnosis method based on EEMD and instantaneous energy density spectrum is proposed here. The IMFs generated by EEMD can alleviate the problem of mode mixing and approach the reality IMFs. The characteristic frequencies were found in the instantaneous energy density of Hilbert spectrum. The effectiveness of this method was demonstrated by analysis the vibration signals of a gear with pitting fault.
机译:当齿轮啮合故障啮合并激发结构的共振时,可以制造一个称为“脉冲能量”的非常短的脉冲能量。共同技术对处理这种振动信号具有不便。提出了一种基于EEMD和瞬时能量密度谱的新故障诊断方法。 EEMD生成的IMF可以缓解模式混合和接近现实IMF的问题。在Hilbert光谱的瞬时能量密度中发现了特征频率。通过分析具有点蚀故障的齿轮的振动信号来证明该方法的有效性。

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