Dynamic Prediction for Accuracy Maintaining Reliability of Superprecision Rolling Bearing in Service
A dynamic prediction method for accuracy maintaining reliability (AMR) of superprecision rolling bearings (SPRBs) in service is proposed by effectively fusing chaos theory and grey system theory and applying stochastic processes. In this paper, the time series of a vibration signal is used to charac...
Saved in:
Main Authors: | Liang Ye, Xintao Xia, Zhen Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2018/7396293 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Nonlinear Characteristic and Performance Continuity Reliability of Rolling Bearing Vibration
by: Cheng Li, et al.
Published: (2019-01-01) -
Evaluation of Grey Relation between Chaotic Characteristic and Uncertainty of Rolling Bearing Vibration Performance
by: Liang Ye, et al.
Published: (2021-01-01) -
Evaluation of Vibration Performance Variation of Rolling Bearing based on Fuzzy-set Theory
by: Xia Xintao, et al.
Published: (2018-01-01) -
Modeling and maintaining the reliability of data replica service in cloud storage systems
by: Chang-qin HUANG, et al.
Published: (2014-10-01) -
Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation
by: Li Cheng, et al.
Published: (2022-01-01)