摘要
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。
To extract fault characteristics of rolling bearings under variable speed conditions,an improved order envelope spectrum algorithm was proposed based on the method to use low-pass filter to limit frequency and order.The envelope signals were obtained after the original vibration signals were filtered with a low-pass filter,then the re-sampling frequency of COT（computed order tracking）was determined and the filtered envelope signals were re-sampled.Finally, the improved order envelope spectrum was obtained using the absolute values of the discrete Fourier transformation of the re-sampled envelope signals.The results showed that the proposed algorithm provides a method to evaluate the re-sampling rate,the method reduces the re-sampling rate and avoids the order aliasing compared with the traditional order envelope spectrum algorithm.
出处
《振动与冲击》
EI
CSCD
北大核心
2016年第15期144-148,共5页
Journal of Vibration and Shock
基金
国家自然科学基金(11227201
11202141
11302137
11472179)
河北省自然科学基金(A2013210013
A2015210005)
河北省教育厅项目(YQ2014028)
关键词
非平稳
阶次包络谱
重采样
阶次混叠
non-stationary
order envelope spectrum
re-sampling
order aliasing
