An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics
Aimed at degradation prognostics of a rolling bearing, this paper proposed a novel cumulative transformation algorithm for data processing and a feature fusion technique for bearing degradation assessment. First, a cumulative transformation is presented to map the original features extracted from a...
Saved in:
Main Authors: | Lixiang Duan, Fei Zhao, Jinjiang Wang, Ning Wang, Jiwang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2018/9067184 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on the Feature Selection of Rolling Bearings’ Degradation Features
by: Yaolong Li, et al.
Published: (2019-01-01) -
ANALYSIS OF NONLINEAR CUMULATIVE DAMAGE MODEL CONSIDERING STRENGTH DEGRADATION
by: LI Wei
Published: (2020-01-01) -
Comprehensive analysis of clinicopathologic and prognostic features in locally advanced thyroid papillary cancer
by: Liang Jiwang, et al.
Published: (2025-03-01) -
Ductility and Strength Reduction Factors for Degrading Structures Considering Cumulative Damage
by: Edén Bojórquez, et al.
Published: (2014-01-01) -
EMFF-Net: Edge-Enhancement Multi-Scale Feature Fusion Network
by: Xuhui Guan, et al.
Published: (2025-01-01)