利用倒谱包络方法解决液压泵轴承故障特征提取和故障诊断的问题。
The cepstrum envelope analysis is applied to solve the problem of the diagnosis of bearing failure to hydraulic pump.
对滚动轴承的内圈、外圈故障信号的分析结果表明本文方法可以有效地提取滚动轴承故障特征。
The analysis results from roller bearing signals with inner-race or out-race faults show that the diagnosis approach could extract fault characteristics effectively.
在数值仿真和轴承故障特征选择中,采用新方法在保证诊断精度的同时,可以节省大量选择时间。
The composite method saves more computing time than the wrapper method with holding the classification accuracy in data simulation and experiment on bearing fault feature selection.
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