基于AR模型和谱峭度法的滚动轴承故障诊断

石林锁;沈金伟; 张亚洲;牛武泽

振动与冲击 ›› 2011, Vol. 30 ›› Issue (12) : 257-260.

PDF(1378 KB)
PDF(1378 KB)
振动与冲击 ›› 2011, Vol. 30 ›› Issue (12) : 257-260.
论文

基于AR模型和谱峭度法的滚动轴承故障诊断

  • 石林锁;沈金伟; 张亚洲; 牛武泽
作者信息 +

Fault diagnosis of rolling element bearing based on ar model and spectral kurtosis

  • Shi Lin-suo,Shen Jin-wei, Zhang Ya-zhou, Niu Wu-ze
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摘要

自回归(AR)模型是平稳信号分析的重要工具,本文利用峭度最大原则确定AR模型最优阶次,然后利用此AR模型对滚动轴承故障信号进行预处理,剔除可线性预测的平稳成分,得到的残余分量中理论上只包含了噪声信号和信号的非平稳部分,从而降低了后期数据分析难度。谱峭度对于非平稳信号非常敏感,它可以将非平稳信号从噪声中检测出来,因此将两者结合起来可以更有效的对滚动轴承故障进行诊断,实验结果验证了此方法的有效性。

Abstract

the Auto-Regressive (AR) model was an important tool for stationary signal analysis. The optimum AR model order was determined by the Maximum Kurtosis Criterion, and then this AR model was used to pre-processed the fault signal which obtained from rolling element bearing. As a result, it eliminated the liner predictable stationary part and achieved the residual error, which only contained the noise and the non-stationary part of the signal. Consequently, the difficulty of following signal analysis was eased. Spectral Kurtosis(SK) was sensitive to non-stationary signals, it could extract the non-stationary part from the noisy background, and so, aiming at a more efficient result of the rolling element bearing diagnosis, this essay combined the AR model and Spectral Kurtosis to detect the fault. And the expected result was achieved.

关键词

滚动轴承 / AR模型 / 峭度 / 谱峭度 / Wigner-Ville分布 / 故障诊断

Key words

rolling element bearing / ar model / kurtosis / spectral kurtosis / wigner-ville distribution / fault diagnosis

引用本文

导出引用
石林锁;沈金伟; 张亚洲;牛武泽. 基于AR模型和谱峭度法的滚动轴承故障诊断[J]. 振动与冲击, 2011, 30(12): 257-260
Shi Lin-suo;Shen Jin-wei;Zhang Ya-zhou;Niu Wu-ze. Fault diagnosis of rolling element bearing based on ar model and spectral kurtosis[J]. Journal of Vibration and Shock, 2011, 30(12): 257-260

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