Fault Feature Extraction Method of Gearbox based on Parameter Optimization VMD
In order to solve the problem that the signal-to-noise ratio of the gearbox fault signal is low and fault feature extraction is difficult，a method for extracting gearbox fault feature based on parameters optimized variational mode decomposition is proposed. Firstly，the drosophila optimization algori...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2020-03-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.03.028 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In order to solve the problem that the signal-to-noise ratio of the gearbox fault signal is low and fault feature extraction is difficult，a method for extracting gearbox fault feature based on parameters optimized variational mode decomposition is proposed. Firstly，the drosophila optimization algorithm is used to search for the most optimal combination of the variational mode decomposition's <italic>K</italic> and <italic>α</italic>，aiming at the minimum local entropy of the decomposition result. The original signal is decomposed into several IMF components，from which the component with the smaller envelope entropy is selected for signal reconstruction，and the reconstructed signal is demodulated to extract the fault frequency feature from the envelope spectrum of the reconstructed signal. The results show that this method can reduce the noise and extract the fault features of gearbox successfully，and the effect of noise reduction is better than the empirical mode decomposition method，and the extracted fault features are more obvious. |
|---|---|
| ISSN: | 1004-2539 |