Bearing Fault Diagnosis Method based on Self-adaptive Stochastic Resonance of Genetic Algorithm and VMD
The stochastic resonance( SR) needs to meet the approximative condition when dealing with the measured bearing fault signal,it needs to meet small signal parameters. That is to meet the small parameter signal( signal amplitude,signal frequency,noise intensity is far less than 1). The detection of me...
Saved in:
| Main Authors: | Zhang Chao, He Yuanyuan |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2018-01-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.04.031 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A study on rolling bearing fault diagnosis using RIME-VMD
by: Zhenrong Ma, et al.
Published: (2025-02-01) -
Bearing fault diagnosis for high-speed train based on improved VMD and APSO-SVM
by: ZHANG Qingsong, et al.
Published: (2022-01-01) -
Fault Diagnosis Method of Gear based on VMD and Multi-feature Fusion
by: Wang Jianguo, et al.
Published: (2017-01-01) -
An improved bistable stochastic resonance method and its application in early bearing fault diagnosis
by: Yonghui Zhao, et al.
Published: (2025-07-01) -
Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
by: Xupeng Die, et al.
Published: (2020-01-01)