Gear Fault Diagnosis based on Feature Fusion and Sparse Representation
A kind of the mechanical fault diagnosis method based on feature fusion and sparse representation is proposed. The energy of every subband of gear vibration signal is extracted with wavelet packet decomposition,and the energy constitutes original feature vector. The feature fusion is implemented wit...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2017-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.012 |
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| Summary: | A kind of the mechanical fault diagnosis method based on feature fusion and sparse representation is proposed. The energy of every subband of gear vibration signal is extracted with wavelet packet decomposition,and the energy constitutes original feature vector. The feature fusion is implemented with KPCA,and the dimension reduction of original feature vector is used as the input of classification based on sparse representation. The experiment demonstrates that the different fault type of gear is detected by the presented method. |
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| ISSN: | 1004-2539 |