Non-stationary signal combined analysis based fault diagnosis method
Considering the complementarity between the deep learning,spectrum and time frequency analysis methods,a multi-stream framework was designed by combining the convolutional network,Fourier transform and wavelet package decomposition methods,with the aim to analyze the non-stationary signal.Accordingl...
Saved in:
Main Authors: | Zhe CHEN, Yuqi HU, Shiqing TIAN, Huimin LU, Lizhong XU |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2020-05-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020099/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on bearing fault diagnosis based on a multimodal method
by: Hao Chen, et al.
Published: (2024-12-01) -
Gear Fault Diagnosis based on Feature Fusion and Sparse Representation
by: Wang Jiangping, et al.
Published: (2017-01-01) -
Fault Diagnosis of Wind Turbine Gearbox based on Signal Model and Order Analysis
by: Jiabin Tian, et al.
Published: (2022-02-01) -
A Review of Research on Fault Diagnosis of Gear Transmission Devices Based on Acoustic Signals
by: Zhang Linhang, et al.
Published: (2024-12-01) -
Fault Diagnosis of Gear based on Translation Invariant Multiwavelet Transform
by: Hua Wei, et al.
Published: (2016-01-01)