Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO
Aiming at the difficulty extracting the local damage information of rolling bearings under the background of random noise，a new feature extraction method based on singular value decomposition(SVD) and local mean decomposition(LMD) joint de-noising combined with Teager energy operator(TEO) is propose...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2021-06-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.06.016 |
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| _version_ | 1841547284270022656 |
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| author | Xiaozheng Xie Jun Li Rongzhen Zhao Zhenqi Cui |
| author_facet | Xiaozheng Xie Jun Li Rongzhen Zhao Zhenqi Cui |
| author_sort | Xiaozheng Xie |
| collection | DOAJ |
| description | Aiming at the difficulty extracting the local damage information of rolling bearings under the background of random noise，a new feature extraction method based on singular value decomposition(SVD) and local mean decomposition(LMD) joint de-noising combined with Teager energy operator(TEO) is proposed. Firstly，by using the SVD method，the fault vibration signal of rolling bearings is processed to eliminated the background noise preliminarily. Then，the signal which is denoised by using LMD method is reconstructed after the sensitive product function(PF) is screened out according to the correlation coefficient index. Finally，the reconstructed signal is analyzed by TEO demodulation，the frequency component which amplitude prominent in demodulation spectrum is compared with the theoretical value of fault characteristic frequency to extract fault information. The experimental results demonstrate that the method can effectively extract the characteristic frequency of the local damage information of rolling bearings and the fault diagnosis is realized. |
| format | Article |
| id | doaj-art-68e632a54d564abdba4b19945d228849 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-68e632a54d564abdba4b19945d2288492025-01-10T14:48:53ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-06-014510411211255941Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEOXiaozheng XieJun LiRongzhen ZhaoZhenqi CuiAiming at the difficulty extracting the local damage information of rolling bearings under the background of random noise，a new feature extraction method based on singular value decomposition(SVD) and local mean decomposition(LMD) joint de-noising combined with Teager energy operator(TEO) is proposed. Firstly，by using the SVD method，the fault vibration signal of rolling bearings is processed to eliminated the background noise preliminarily. Then，the signal which is denoised by using LMD method is reconstructed after the sensitive product function(PF) is screened out according to the correlation coefficient index. Finally，the reconstructed signal is analyzed by TEO demodulation，the frequency component which amplitude prominent in demodulation spectrum is compared with the theoretical value of fault characteristic frequency to extract fault information. The experimental results demonstrate that the method can effectively extract the characteristic frequency of the local damage information of rolling bearings and the fault diagnosis is realized.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.06.016Rolling bearingSingular value decomposition(SVD)Local mean decomposition （LMD）Teager energy operator(TEO)Fault diagnosis |
| spellingShingle | Xiaozheng Xie Jun Li Rongzhen Zhao Zhenqi Cui Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO Jixie chuandong Rolling bearing Singular value decomposition(SVD) Local mean decomposition （LMD） Teager energy operator(TEO) Fault diagnosis |
| title | Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO |
| title_full | Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO |
| title_fullStr | Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO |
| title_full_unstemmed | Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO |
| title_short | Fault Diagnosis of Rolling Bearings based on SVD-LMD Joint De-noising and TEO |
| title_sort | fault diagnosis of rolling bearings based on svd lmd joint de noising and teo |
| topic | Rolling bearing Singular value decomposition(SVD) Local mean decomposition （LMD） Teager energy operator(TEO) Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.06.016 |
| work_keys_str_mv | AT xiaozhengxie faultdiagnosisofrollingbearingsbasedonsvdlmdjointdenoisingandteo AT junli faultdiagnosisofrollingbearingsbasedonsvdlmdjointdenoisingandteo AT rongzhenzhao faultdiagnosisofrollingbearingsbasedonsvdlmdjointdenoisingandteo AT zhenqicui faultdiagnosisofrollingbearingsbasedonsvdlmdjointdenoisingandteo |