针对变转速工况下滚动轴承故障特征的提取问题，提出了一种基于滤波定阶理论的改进阶次包络谱分析方法。该方法在包络解调后，先对信号进行低通滤波，在确定计算阶次跟踪(COT)的重采样频率并进行重采样后，再对重采样后的包络曲线进行离散傅里叶变换得到阶次包络谱。通过仿真信号和实验数据对该算法进行验证，结果表明：该算法适用于变转速工况的轴承故障诊断，和传统阶次包络谱算法相比，该算法为角域重采样中重采样率的设置提供了一种方法，可以有效避免阶次混叠现象和降低重采样率。
Abstract
To extract the fault characteristics for rolling bearing element diagnosis in variable speed conditions,provided an improved order envelope spectrum algorithm based on the method using low pass filter to limit frequency and order. The envelope signal obtained from the original vibration signal is low pass filtered ,then determine the re-sampling frequency in COT(computed order tracking)and re-sample the filtered envelope signal.Finally the improved order envelope spectrum is obtained as the absolute value of the discrete Fourier transform of the re-sampled envelope signal.The results show that the improved algorithm provides a method for evaluating the re-sampling frequency,reduces the re-sampling frequency and avoids the order aliasing compared with the traditional order envelope spectrum algorithm.
关键词
非平稳 /
阶次包络谱 /
重采样 /
阶次混叠
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Key words
non-stationary /
order envelope spectrum /
re-sampling /
order aliasing
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