改进的EEMD方法及其在滚动轴承故障诊断中的应用

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (16) : 51-56.

论文

程军圣1 王健1 桂林2

作者信息 +

An improved EEMD method and its application in rolling bearing fault diagnosis

CHENG Junsheng1,WANG Jian1,GUI Lin2

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文章历史 +

摘要

针对集合经验模态分解( Ensemble Empirical Mode Decomposition，EEMD)方法只考虑了噪声的幅值对分解结果的影响，而且添加的白噪声不能完全中和的问题，通过分析噪声的最大频率对分解结果的影响，提出一种改进的EEMD方法。将总体平均次数固定为2，然后对信号添加最大频率和幅值不同的噪声进行分解，遍历之后由分解结果的正交性系数判断分解效果，将正交性系数最小的作为最终分解结果，同时结合补充的EEMD(Complementary EEMD，CEEMD)方法降低残余噪声对分解结果的影响。通过仿真信号和实测信号分析，结果表明改进方法在抑制模态混淆和故障诊断方面较原始方法有一定优势。

Abstract

In order to deal with the problem that ensemble empirical mode decomposition (EEMD) method only considers the effect of the amplitude of the noise on the decomposition results, and the added white noise cannot be neutralized completely, an improved EEMD method was proposed by analyzing the influence of maximum frequency of noise on the decomposition results.The number of ensemble members was fixed to 2, and then the noise was added to the signal with different maximum frequency and amplitude.After the traversing, the result with the minimal orthogonal coefficient was selected as the final decomposition result.At the same time, the complementary EEMD (Complementary EEMD, CEEMD) method was used to reduce the effect of residual noise.Through the simulation signal and the measured signal analysis, the results show that the improved method has some advantages in suppressing mode mixing and fault diagnosis compared with the original method.

导出引用

程军圣1 王健1 桂林2. 改进的EEMD方法及其在滚动轴承故障诊断中的应用[J]. 振动与冲击, 2018, 37(16): 51-56

CHENG Junsheng1,WANG Jian1,GUI Lin2. An improved EEMD method and its application in rolling bearing fault diagnosis[J]. Journal of Vibration and Shock, 2018, 37(16): 51-56

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