Time-Varying Degradation Model for Remaining Useful Life Prediction of Rolling Bearings under Variable Rotational Speed
It is difficult to accurately extract the health index of non-stationary signals of rolling bearings under variable rotational speed, which also leads to greater prediction error for bearing degradation models with fixed parameters. For this reason, an angular domain unscented particle filter model...
Main Authors: | Wenliao Du, Xukun Hou, Hongchao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/8/4044 |
Similar Items
-
Digital Twin-Driven Remaining Useful Life Prediction for Rolling Element Bearing
by: Quanbo Lu, et al.
Published: (2023-06-01) -
A Multi-Featured Factor Analysis and Dynamic Window Rectification Method for Remaining Useful Life Prognosis of Rolling Bearings
by: Cheng Peng, et al.
Published: (2023-11-01) -
Thermal Elastohydrodynamic Lubrication Analysis of High-Speed and Light-Load Rolling Bearing with Double Rings Rotation
by: Junning Li*, et al.
Published: (2022-01-01) -
Research on the Remaining Life Prediction Method of Rolling Bearings Based on Multi-Feature Fusion
by: Guanwen Zhang, et al.
Published: (2024-02-01) -
Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis
by: Ming Zhao, et al.
Published: (2014-10-01)