Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition
As a new self- adaptive time- frequency analysis method,the local characteristic- scale decomposition（ LCD） is proposed lately and applied to mechanical fault diagnosis. The influence of noise to LCD is studied and a new fault diagnosis based on singular value decomposition（ SVD） de- noising and loc...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2016-01-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.05.030 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841547926509191168 |
|---|---|
| author | Cui Weicheng Li Wei Meng Fanlei Liu Linmi |
| author_facet | Cui Weicheng Li Wei Meng Fanlei Liu Linmi |
| author_sort | Cui Weicheng |
| collection | DOAJ |
| description | As a new self- adaptive time- frequency analysis method,the local characteristic- scale decomposition（ LCD） is proposed lately and applied to mechanical fault diagnosis. The influence of noise to LCD is studied and a new fault diagnosis based on singular value decomposition（ SVD） de- noising and local characteristic- scale decomposition is proposed. Firstly,the phase space reconstruction of original vibration signal is carried out,and then,the noise is effectively eliminated by using singular value decomposition. The LCD of the de- noising signal is carried out and some intrinsic scale components（ ISC） are acquired,then the envelope spectrum analysis on the ISCs is carried out and the fault feature is extracted. Through the analysis of the simulation data and the bearing fault data,the effectiveness of this method is verified. |
| format | Article |
| id | doaj-art-a53e5501771c40e29a8b18fa28072062 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-a53e5501771c40e29a8b18fa280720622025-01-10T14:17:43ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-014012813329923886Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale DecompositionCui WeichengLi WeiMeng FanleiLiu LinmiAs a new self- adaptive time- frequency analysis method,the local characteristic- scale decomposition（ LCD） is proposed lately and applied to mechanical fault diagnosis. The influence of noise to LCD is studied and a new fault diagnosis based on singular value decomposition（ SVD） de- noising and local characteristic- scale decomposition is proposed. Firstly,the phase space reconstruction of original vibration signal is carried out,and then,the noise is effectively eliminated by using singular value decomposition. The LCD of the de- noising signal is carried out and some intrinsic scale components（ ISC） are acquired,then the envelope spectrum analysis on the ISCs is carried out and the fault feature is extracted. Through the analysis of the simulation data and the bearing fault data,the effectiveness of this method is verified.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.05.030Local characteristic-scale decompositionSingular value decompositionPhase space reconstructionBearing fault diagnosis |
| spellingShingle | Cui Weicheng Li Wei Meng Fanlei Liu Linmi Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition Jixie chuandong Local characteristic-scale decomposition Singular value decomposition Phase space reconstruction Bearing fault diagnosis |
| title | Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition |
| title_full | Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition |
| title_fullStr | Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition |
| title_full_unstemmed | Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition |
| title_short | Bearing Fault Diagnosis based on Singular Value Decomposition Denoising and Local Characteristic-scale Decomposition |
| title_sort | bearing fault diagnosis based on singular value decomposition denoising and local characteristic scale decomposition |
| topic | Local characteristic-scale decomposition Singular value decomposition Phase space reconstruction Bearing fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.05.030 |
| work_keys_str_mv | AT cuiweicheng bearingfaultdiagnosisbasedonsingularvaluedecompositiondenoisingandlocalcharacteristicscaledecomposition AT liwei bearingfaultdiagnosisbasedonsingularvaluedecompositiondenoisingandlocalcharacteristicscaledecomposition AT mengfanlei bearingfaultdiagnosisbasedonsingularvaluedecompositiondenoisingandlocalcharacteristicscaledecomposition AT liulinmi bearingfaultdiagnosisbasedonsingularvaluedecompositiondenoisingandlocalcharacteristicscaledecomposition |