Weak Fault Detection for Rolling Bearings in Varying Working Conditions through the Second-Order Stochastic Resonance Method with Barrier Height Optimization
The stochastic resonance (SR) method is widely applied to fault feature extraction of rotary machines, which is capable of improving the weak fault detection performance by energy transformation through the potential well function. The potential well functions are mostly set fixed to reduce computat...
Main Authors: | Huaitao Shi, Yangyang Li, Peng Zhou, Shenghao Tong, Liang Guo, Baicheng Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2021/5539912 |
Similar Items
-
A Fault Feature Extraction Method Based on Second-Order Coupled Step-Varying Stochastic Resonance for Rolling Bearings
by: Lu Lu, et al.
Published: (2020-04-01) -
A new fault feature for rolling bearing fault diagnosis under varying speed conditions
by: Yong Ren, et al.
Published: (2017-06-01) -
Application of continuous potential function stochastic resonance in early fault diagnosis of rolling bearings
by: Xueping Ren, et al.
Published: (2020-05-01) -
Weak fault diagnosis of rolling bearing based on FRFT and DBN
by: Xing He, et al.
Published: (2020-01-01) -
Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach
by: Qing Li, et al.
Published: (2018-11-01)