Fault Diagnosis for Rolling Bearing under Variable Conditions Based on Image Recognition
Rolling bearing faults often lead to electromechanical system failure due to its high speed and complex working conditions. Recently, a large amount of fault diagnosis studies for rolling bearing based on vibration data has been reported. However, few studies have focused on fault diagnosis for roll...
Saved in:
Main Authors: | Bo Zhou, Yujie Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2016/1948029 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rolling Bearings Fault Diagnosis under Variable Speed Conditions Based on Multitime-Frequency Ridge Extraction
by: Qing Xiong, et al.
Published: (2024-01-01) -
Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions
by: Xiao Yu, et al.
Published: (2021-01-01) -
Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition
by: Shiyuan Liu, et al.
Published: (2020-01-01) -
Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis
by: Jinde Zheng, et al.
Published: (2014-01-01) -
Vibration Images-Driven Fault Diagnosis Based on CNN and Transfer Learning of Rolling Bearing under Strong Noise
by: Hongwei Fan, et al.
Published: (2021-01-01)