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首页> 外文会议>International Conference on Industry, Information System and Material Engineering >The Research of Fault Diagnosis Method of Roller Bearing Based on EMD and VPMCD
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The Research of Fault Diagnosis Method of Roller Bearing Based on EMD and VPMCD

机译：基于EMD和VPMCD的滚子轴承故障诊断方法研究

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摘要

Empirical mode decomposition (EMD) can extract real time-frequency characteristics from the non-stationary and nonlinear signal. Variable prediction model based class discriminate (VPMCD) is introduced into roller bearing fault diagnosis in this paper. Therefore, a fault diagnosis method based on EMD and VPMCD is put forward in the paper. Firstly, the different feature vectors in the signal are extracted by EMD. Then, different fault models of roller bearing are distinguished by using VPMCD. Finally, an simulation example based on EMD and VPMCD is shown in this paper. The results show that this method can gain very stable classification performance and good computational efficiency.
机译：经验模式分解（EMD）可以从非静止和非线性信号中提取实时时频特性。基于可变预测模型的类别鉴别（VPMCD）被引入本文的滚子轴承故障诊断。因此，本文提出了基于EMD和VPMCD的故障诊断方法。首先，通过EMD提取信号中的不同特征向量。然后，通过使用VPMCD来区分滚子轴承的不同故障模型。最后，本文示出了基于EMD和VPMCD的仿真示例。结果表明，该方法可以获得非常稳定的分类性能和良好的计算效率。

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