THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT
Aiming at the impact feature in fault signals of the rolling bearings,The improved algorithm diagnosis method EEMD-RA-KU was proposed to capture the impact feature. Firstly,Fault signals were decomposed into a series of intrinsic mode functions（ IMFs） with ensemble empirical mode decomposition（ EEMD...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2016-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.06.005 |
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| author | WU GuangHe DING JianMing LIN JianHui ZHAO QiuYuan |
| author_facet | WU GuangHe DING JianMing LIN JianHui ZHAO QiuYuan |
| author_sort | WU GuangHe |
| collection | DOAJ |
| description | Aiming at the impact feature in fault signals of the rolling bearings,The improved algorithm diagnosis method EEMD-RA-KU was proposed to capture the impact feature. Firstly,Fault signals were decomposed into a series of intrinsic mode functions（ IMFs） with ensemble empirical mode decomposition（ EEMD）. Secondly,The IMFs were selected to reconstruct signals based on relative analysis（ RA） and kurtosis（ KU）. Thirdly,The reconstructed signals were filtered by the filter that the parameters were determined with the spectral kurtosis. Finally,The fault can be diagnosed by comparing the frequency of the envelope spectrum with the fault characteristic frequency of the bearing. The result shows that the fault feature information of the signal can be extracted accurately when there was a lot of background noise. |
| format | Article |
| id | doaj-art-7ed4bd45f85f457995e6d79477286a4c |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-7ed4bd45f85f457995e6d79477286a4c2025-01-15T02:35:16ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692016-01-01381167117230596848THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULTWU GuangHeDING JianMingLIN JianHuiZHAO QiuYuanAiming at the impact feature in fault signals of the rolling bearings,The improved algorithm diagnosis method EEMD-RA-KU was proposed to capture the impact feature. Firstly,Fault signals were decomposed into a series of intrinsic mode functions（ IMFs） with ensemble empirical mode decomposition（ EEMD）. Secondly,The IMFs were selected to reconstruct signals based on relative analysis（ RA） and kurtosis（ KU）. Thirdly,The reconstructed signals were filtered by the filter that the parameters were determined with the spectral kurtosis. Finally,The fault can be diagnosed by comparing the frequency of the envelope spectrum with the fault characteristic frequency of the bearing. The result shows that the fault feature information of the signal can be extracted accurately when there was a lot of background noise.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.06.005Bearing faultEEMDCorrelation coefficientKurtosisFault diagnosis |
| spellingShingle | WU GuangHe DING JianMing LIN JianHui ZHAO QiuYuan THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT Jixie qiangdu Bearing fault EEMD Correlation coefficient Kurtosis Fault diagnosis |
| title | THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT |
| title_full | THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT |
| title_fullStr | THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT |
| title_full_unstemmed | THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT |
| title_short | THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT |
| title_sort | eemd ra ku method on diagnosis of bearing fault |
| topic | Bearing fault EEMD Correlation coefficient Kurtosis Fault diagnosis |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.06.005 |
| work_keys_str_mv | AT wuguanghe theeemdrakumethodondiagnosisofbearingfault AT dingjianming theeemdrakumethodondiagnosisofbearingfault AT linjianhui theeemdrakumethodondiagnosisofbearingfault AT zhaoqiuyuan theeemdrakumethodondiagnosisofbearingfault AT wuguanghe eemdrakumethodondiagnosisofbearingfault AT dingjianming eemdrakumethodondiagnosisofbearingfault AT linjianhui eemdrakumethodondiagnosisofbearingfault AT zhaoqiuyuan eemdrakumethodondiagnosisofbearingfault |