Fault Diagnosis of Rolling Element Bearing based on Angular Domain Empirical Wavelet Transform
Considering the difficulty of extracting fault features of rolling element bearings,a fault diagnosis method for rolling element bearings under variable speed conditions based on angular domain empirical wavelet transform( EWT) is proposed. Firstly,original rolling element bearing vibration signal i...
Saved in:
Main Author: | Yang Changzheng |
---|---|
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.1004.2539.2017.04.038 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research of Wavelet Neural Network State Degradation Prediction of Rolling Bearing New Time Domain Index
by: Li Wenfeng, et al.
Published: (2016-01-01) -
Rolling Bearing Fault Diagnosis based on Wavelet and Deep Wavelet Auto-encoder
by: Xiaolei Du, et al.
Published: (2019-09-01) -
Application of Time Domain Index and Kurtosis analysis Method in the Fault Diagnosis of Rolling Bearing
by: Guo Qingfeng, et al.
Published: (2016-01-01) -
Application of Enhanced EWT and Enhanced Dictionary Learning in Bearing Faults Identification
by: Wu Caixia, et al.
Published: (2023-01-01) -
ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE
by: LIU JunLi, et al.
Published: (2024-02-01)