Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit
The transient impact component of early bearing faults is not obvious, and the traditional basis function expansion method is poor in feature extraction under strong noise conditions. In this paper, a transient feature extraction technique is proposed based on Laplace wavelet and orthogonal matching...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2022/8154492 |
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| _version_ | 1832550771703414784 |
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| author | Lei Hou Junxiao Zhao Shiwei Dun Yufeng Cai Yang Yang Junzhi Xu Chuanzong Sun |
| author_facet | Lei Hou Junxiao Zhao Shiwei Dun Yufeng Cai Yang Yang Junzhi Xu Chuanzong Sun |
| author_sort | Lei Hou |
| collection | DOAJ |
| description | The transient impact component of early bearing faults is not obvious, and the traditional basis function expansion method is poor in feature extraction under strong noise conditions. In this paper, a transient feature extraction technique is proposed based on Laplace wavelet and orthogonal matching pursuit algorithm and combined with sparse representation theory. First, the overcomplete and redundant Laplace wavelet dictionary is adopted to represent vibration signals in a sparse way. Then the Hilbert resonance demodulation method is employed to obtain the envelope spectrum of sparse representation signal. Finally, the coefficient calculation problem of sparse representation is solved by orthogonal matching pursuit (OMP) algorithm. Simulation examples and experimental example are used to examine the performance of the proposed method. The results show that the weak-bearing faults feature extraction can be effectively realized since the transient shock component can be identified. Furthermore, the effectiveness of the proposed method is verified by the cyclic multishock simulated signals as well as the practical rolling-bearing vibration signals. Moreover, the comparison studies are also carried out to show that the proposed method outperforms the traditional basis function expansion methods in weak fault feature extraction of bearing. |
| format | Article |
| id | doaj-art-c0d8ecb613734a819611534446faff26 |
| institution | Kabale University |
| issn | 1875-9203 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-c0d8ecb613734a819611534446faff262025-02-03T06:05:54ZengWileyShock and Vibration1875-92032022-01-01202210.1155/2022/8154492Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching PursuitLei Hou0Junxiao Zhao1Shiwei Dun2Yufeng Cai3Yang Yang4Junzhi Xu5Chuanzong Sun6School of AstronauticsSchool of AstronauticsFactory of Xiang Yang Hang Tai Power MachineryFactory of Xiang Yang Hang Tai Power MachineryApplied Mechanics and Structure Safety Key Laboratory of Sichuan ProvinceSchool of AstronauticsSchool of Mechanical EngineeringThe transient impact component of early bearing faults is not obvious, and the traditional basis function expansion method is poor in feature extraction under strong noise conditions. In this paper, a transient feature extraction technique is proposed based on Laplace wavelet and orthogonal matching pursuit algorithm and combined with sparse representation theory. First, the overcomplete and redundant Laplace wavelet dictionary is adopted to represent vibration signals in a sparse way. Then the Hilbert resonance demodulation method is employed to obtain the envelope spectrum of sparse representation signal. Finally, the coefficient calculation problem of sparse representation is solved by orthogonal matching pursuit (OMP) algorithm. Simulation examples and experimental example are used to examine the performance of the proposed method. The results show that the weak-bearing faults feature extraction can be effectively realized since the transient shock component can be identified. Furthermore, the effectiveness of the proposed method is verified by the cyclic multishock simulated signals as well as the practical rolling-bearing vibration signals. Moreover, the comparison studies are also carried out to show that the proposed method outperforms the traditional basis function expansion methods in weak fault feature extraction of bearing.http://dx.doi.org/10.1155/2022/8154492 |
| spellingShingle | Lei Hou Junxiao Zhao Shiwei Dun Yufeng Cai Yang Yang Junzhi Xu Chuanzong Sun Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit Shock and Vibration |
| title | Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit |
| title_full | Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit |
| title_fullStr | Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit |
| title_full_unstemmed | Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit |
| title_short | Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit |
| title_sort | feature extraction of weak bearing faults based on laplace wavelet and orthogonal matching pursuit |
| url | http://dx.doi.org/10.1155/2022/8154492 |
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