多尺度主元坐标变换在轴承故障声发射信号增强检测中的应用
Aiming at the problem of weak feature extraction and recognition in the bearing acoustic emission signal processing,multi-scale principal component coordinate transformation is proposed to enhance fault feature.Firstly,the signal is decomposed by wavelet package,and the sub-band reconstruction compo...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2014-01-01
|
| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2014.08.019 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Aiming at the problem of weak feature extraction and recognition in the bearing acoustic emission signal processing,multi-scale principal component coordinate transformation is proposed to enhance fault feature.Firstly,the signal is decomposed by wavelet package,and the sub-band reconstruction component is converted to a new linear space by principal component analysis,and the signal fault feature is enhanced.Finally,the method performance is verified by simulation signal and testing signal,the results show that multi-scale principal component coordinate transformation has obvious enhancement effect in bearing fault detection. |
|---|---|
| ISSN: | 1004-2539 |