A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis
Vibration signals of the defect rolling element bearings are usually immersed in strong background noise, which make it difficult to detect the incipient bearing defect. In our paper, the adaptive detection of the multiresonance bands in vibration signal is firstly considered based on variational m...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/8361289 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832568062169055232 |
|---|---|
| author | Xingxing Jiang Shunming Li Chun Cheng |
| author_facet | Xingxing Jiang Shunming Li Chun Cheng |
| author_sort | Xingxing Jiang |
| collection | DOAJ |
| description | Vibration signals of the defect rolling element bearings are usually immersed in strong background noise, which make it difficult to detect the incipient bearing defect. In our paper, the adaptive detection of the multiresonance bands in vibration signal is firstly considered based on variational mode decomposition (VMD). As a consequence, the novel method for enhancing rolling element bearing fault diagnosis is proposed. Specifically, the method is conducted by the following three steps. First, the VMD is introduced to decompose the raw vibration signal. Second, the one or more modes with the information of fault-related impulses are selected through the kurtosis index. Third, Multiresolution Teager Energy Operator (MTEO) is employed to extract the fault-related impulses hidden in the vibration signal and avoid the negative value phenomenon of Teager Energy Operator (TEO). Meanwhile, the physical meaning of MTEO is also discovered in this paper. In addition, an idea of combining the multiresonance bands is constructed to further enhance the fault-related impulses. The simulation studies and experimental verifications confirm that the proposed method is effective for identifying the multiresonance bands and enhancing rolling element bearing fault diagnosis by comparing with Hilbert transform, EMD-based demodulation, and fast Kurtogram analysis. |
| format | Article |
| id | doaj-art-3e972ae4d7b1405898b503a317ebe770 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-3e972ae4d7b1405898b503a317ebe7702025-02-03T00:59:44ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/83612898361289A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault DiagnosisXingxing Jiang0Shunming Li1Chun Cheng2College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaVibration signals of the defect rolling element bearings are usually immersed in strong background noise, which make it difficult to detect the incipient bearing defect. In our paper, the adaptive detection of the multiresonance bands in vibration signal is firstly considered based on variational mode decomposition (VMD). As a consequence, the novel method for enhancing rolling element bearing fault diagnosis is proposed. Specifically, the method is conducted by the following three steps. First, the VMD is introduced to decompose the raw vibration signal. Second, the one or more modes with the information of fault-related impulses are selected through the kurtosis index. Third, Multiresolution Teager Energy Operator (MTEO) is employed to extract the fault-related impulses hidden in the vibration signal and avoid the negative value phenomenon of Teager Energy Operator (TEO). Meanwhile, the physical meaning of MTEO is also discovered in this paper. In addition, an idea of combining the multiresonance bands is constructed to further enhance the fault-related impulses. The simulation studies and experimental verifications confirm that the proposed method is effective for identifying the multiresonance bands and enhancing rolling element bearing fault diagnosis by comparing with Hilbert transform, EMD-based demodulation, and fast Kurtogram analysis.http://dx.doi.org/10.1155/2016/8361289 |
| spellingShingle | Xingxing Jiang Shunming Li Chun Cheng A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis Shock and Vibration |
| title | A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis |
| title_full | A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis |
| title_fullStr | A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis |
| title_full_unstemmed | A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis |
| title_short | A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis |
| title_sort | novel method for adaptive multiresonance bands detection based on vmd and using mteo to enhance rolling element bearing fault diagnosis |
| url | http://dx.doi.org/10.1155/2016/8361289 |
| work_keys_str_mv | AT xingxingjiang anovelmethodforadaptivemultiresonancebandsdetectionbasedonvmdandusingmteotoenhancerollingelementbearingfaultdiagnosis AT shunmingli anovelmethodforadaptivemultiresonancebandsdetectionbasedonvmdandusingmteotoenhancerollingelementbearingfaultdiagnosis AT chuncheng anovelmethodforadaptivemultiresonancebandsdetectionbasedonvmdandusingmteotoenhancerollingelementbearingfaultdiagnosis AT xingxingjiang novelmethodforadaptivemultiresonancebandsdetectionbasedonvmdandusingmteotoenhancerollingelementbearingfaultdiagnosis AT shunmingli novelmethodforadaptivemultiresonancebandsdetectionbasedonvmdandusingmteotoenhancerollingelementbearingfaultdiagnosis AT chuncheng novelmethodforadaptivemultiresonancebandsdetectionbasedonvmdandusingmteotoenhancerollingelementbearingfaultdiagnosis |