Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing
The defect characteristics of rolling bearing are difficult to excavate at the incipient injury phase; in order to effectively solve this issue, an original strategy fusing recursive singular spectrum decomposition (RSSD) with optimized cyclostationary blind deconvolution (OCYCBD) is put forward to...
Saved in:
Main Authors: | Xiaolong Wang, Guiji Tang, Yuling He |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/5424236 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing
by: Zhi Xu, et al.
Published: (2020-01-01) -
A 1.5D Spectral Kurtosis-Guided TQWT Method and Its Application in Bearing Fault Detection
by: Xiong Zhang, et al.
Published: (2021-01-01) -
An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis
by: Zhicheng Qiao, et al.
Published: (2020-01-01) -
Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis
by: Ruqiang Yan, et al.
Published: (2015-01-01) -
A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing
by: Hu Aijun, et al.
Published: (2017-01-01)