A New Time-frequency Domain Feature Extraction Method for Rolling Bearing Fault Diagnosis
For fault diagnosis of rolling bearings,a new feature extraction strategy based on short time Fourier transform( STFT) and bag of wordss( BOW) is proposed. Based on the generate mechanism of bearing fault,the different bearing vibration signals have relevant energy distribution. But in the factory,s...
Saved in:
Main Authors: | Chen Junjie, Wang Xiaofeng, Liu Fei, Zhou Wenjing |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2016-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.07.028 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM
by: WANG YongDing, et al.
Published: (2021-01-01) -
Application of Time Domain Index and Kurtosis analysis Method in the Fault Diagnosis of Rolling Bearing
by: Guo Qingfeng, et al.
Published: (2016-01-01) -
Fault Diagnosis Method of Gear based on VMD and Multi-feature Fusion
by: Wang Jianguo, et al.
Published: (2017-01-01) -
A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
by: Chengyao Liu, et al.
Published: (2024-01-01) -
Fault Diagnosis of Rolling Element Bearing based on Angular Domain Empirical Wavelet Transform
by: Yang Changzheng
Published: (2017-01-01)