摘要
分析了某型坦克轴承滚动体故障信号,运用EMD分解和峭度指标优选准则选取包含故障特征较多的固有模式分量,结合回转机械信号具有准周期特点,对重构信号进行自相关去噪然后解调,该方法能减少噪声与其他激励源的干扰,提高诊断效果,对齿轮断齿故障运用此步骤,亦得到较好的诊断效果,与传统包络解调相比有更好的效果。
This paper analyzed a tank bearing fault signals of rolling elements, and used EMD and kurtosis indicators preferred criteria to select contains the fault feature more inherent mode component to combine the rotating machinery signal that has the characteristics of quasi-periodic, self denoising reconstructed sig- nal and demodulation. This method can reduce the noise and other interference excitation source, improve the diagnostic effect of the gear. Broken tooth failure to use this step can get better diagnosis and better re- suits compared with traditional envelope demodulation.
出处
《四川兵工学报》
CAS
2013年第9期74-77,共4页
Journal of Sichuan Ordnance
关键词
故障诊断
EMD
峭度优选
自相关
fault diagnosis
EMD
kurtosis preferred
autocorrelation
