Fault Diagnosis Method of Bearing based on LCD Cross Approximate Entropy and Relevance Vector Machine
Aiming at the fault diagnosis problem of rolling bearing,a fault diagnosis method of rolling bearing based on local characteristic-scale decomposition(LCD) cross approximate entropy(CAE) and relevance vector machine(RVM) is proposed. Firstly,the bearing vibration signals is decomposed into several i...
Saved in:
| Main Authors: | Tan Jingjing, Gao Feng, Zhang Qiantu |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2017-01-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.11.034 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mechanical Fault Diagnosis based on LCD Information Entropy Feature and SVM
by: Zhang Qiantu, et al.
Published: (2015-01-01) -
Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM
by: Zhou Xiaolong, et al.
Published: (2016-01-01) -
Fault Feature Extraction for Rolling Bearing based on LMD Energy Entropy
by: Xu Le, et al.
Published: (2019-01-01) -
Incipient Fault Diagnosis Method for Rolling Bearing based on MED and Variational Mode Decomposition
by: Liu Shangkun, et al.
Published: (2017-01-01) -
Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution
by: Tomasz BARSZCZ, et al.
Published: (2013-10-01)