Application of orthogonal neighborhood preserving projections and two dimensional hidden Markov model for the degradation evaluation of rolling elements bearings
An effective degradation indicator created from the general features is still a hotspot for the condition monitoring of bearing. To cover the shortage of the general features based indicator, some new indicators are built using multiple general features extracted from the original vibration signal w...
Main Authors: | Yongxiang Zhang, Yujie Xiao, Shuai Zhang, Shengjie Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
JVE International
2017-06-01
|
Series: | Journal of Vibroengineering |
Subjects: | |
Online Access: | https://www.jvejournals.com/article/17084 |
Similar Items
-
Research on a Nonlinear Dynamic Incipient Fault Detection Method for Rolling Bearings
by: Huaitao Shi, et al.
Published: (2020-04-01) -
An Improved VMD With Empirical Mode Decomposition and Its Application in Incipient Fault Detection of Rolling Bearing
by: Fan Jiang, et al.
Published: (2018-01-01) -
Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions
by: Lang Xue, et al.
Published: (2017-06-01) -
Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network
by: Heli Wang, et al.
Published: (2021-05-01) -
Fault diagnosis of rolling element bearing based on wavelet kernel principle component analysis-coupled hidden Markov model
by: Hongchao Wang, et al.
Published: (2017-12-01)