| 朱强1， 吴芮2， 慎明俊2， 张守京.CEEMDAN辅助快速谱峭度的滚动轴承故障诊断方法[J].轻工机械,2022,40(3):74-79 |
| CEEMDAN辅助快速谱峭度的滚动轴承故障诊断方法 |
| Rolling Bearing Fault Diagnosis Method Assisted by CEEMDAN with Fast Spectral Kurtosis |
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| DOI：10.3969/j.issn.1005 2895.2022.03.012 |
| 中文关键词: 故障诊断 滚动轴承 集合经验模态分解 快速谱峭度 |
| 英文关键词:fault diagnosis rolling bearing EEMD（Ensemble Empirical Mode Decomposition） fast spectral kurtosis |
| 基金项目:国家重点研发计划项目（2019YFB1707205）。 |
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| 中文摘要: |
| 为解决集合经验模态（EEMD）存在分量重构误差大和提取的故障特征不明显问题，课题组提出一种自适应噪声完备集合经验模态分解（CEEMDAN）辅助快速谱峭度的故障诊断方法。首先采用CEEMDAN将故障信号分解为多个IMF分量，计算分量的谱峭度值，选择峭度和相关度最大的分量进行重构；然后通过快速谱峭度图确定最大共振频带，进行带通滤波分析，获得故障信息；最后采用某滚动轴承实验数据分别对内圈故障和外圈故障进行实验分析。结果表明：与原始故障信号相比，该方法获得的包络谱更清晰，故障频率更明显，内圈故障频率为162 Hz，外圈故障频率为107 Hz。该方法提取故障特征突出，可以得到有效的故障频带。 |
| 英文摘要: |
| In order to solve the problem of large component reconstruction errors and inobvious fault features extracted from EEMD, an adaptive noise complete ensemble empirical mode decomposition (CEEMDAN) assisted fast spectral kurtosis fault diagnosis method was proposed.Firstly, the fault signals were decomposed by CEEMDAN to obtain several IMF components, and the fast spectral kurtosis values of the components were calculated. The effective components were screened out for reconstruction by using the kurtosis maximum criterion and relevance. Then, the signal was reconstructed by fast spectral kurtosis processing to obtain the maximum resonance frequency band, and then analyzed by bandpass filtering to obtain the fault information.Finally, the inner and outer ring faults were analyzed by using the experimental data of a rolling bearing.The results show that compared with the original fault signal, the envelope spectrum obtained by this method was clearer and the fault frequency was more obvious, the inner ring fault frequency was 162 Hz, the outer ring fault frequency was 107 Hz.This method can extract prominent fault features and obtain effective fault frequency bands. |
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