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: | , , , , |
|---|---|
| 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!
|
| _version_ | 1841539295157944320 |
|---|---|
| author | Zhe CHEN Yuqi HU Shiqing TIAN Huimin LU Lizhong XU |
| author_facet | Zhe CHEN Yuqi HU Shiqing TIAN Huimin LU Lizhong XU |
| author_sort | Zhe CHEN |
| collection | DOAJ |
| description | 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.Accordingly,a none-stationary signal combined analysis based fault diagnosis method was proposed to extract features in difference aspects.The fault diagnosis experiments demonstrate that the combined analysis method can efficiently and stably depict the fault and significantly improve the performance of fault diagnosis. |
| format | Article |
| id | doaj-art-a2e278aa3dc041dfb70c97fbc9cced62 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a2e278aa3dc041dfb70c97fbc9cced622025-01-14T07:19:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-05-014118719559735727Non-stationary signal combined analysis based fault diagnosis methodZhe CHENYuqi HUShiqing TIANHuimin LULizhong XUConsidering 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.Accordingly,a none-stationary signal combined analysis based fault diagnosis method was proposed to extract features in difference aspects.The fault diagnosis experiments demonstrate that the combined analysis method can efficiently and stably depict the fault and significantly improve the performance of fault diagnosis.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020099/none-stationary signalfault diagnosissignal processingdeep learningfeature fusion |
| spellingShingle | Zhe CHEN Yuqi HU Shiqing TIAN Huimin LU Lizhong XU Non-stationary signal combined analysis based fault diagnosis method Tongxin xuebao none-stationary signal fault diagnosis signal processing deep learning feature fusion |
| title | Non-stationary signal combined analysis based fault diagnosis method |
| title_full | Non-stationary signal combined analysis based fault diagnosis method |
| title_fullStr | Non-stationary signal combined analysis based fault diagnosis method |
| title_full_unstemmed | Non-stationary signal combined analysis based fault diagnosis method |
| title_short | Non-stationary signal combined analysis based fault diagnosis method |
| title_sort | non stationary signal combined analysis based fault diagnosis method |
| topic | none-stationary signal fault diagnosis signal processing deep learning feature fusion |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020099/ |
| work_keys_str_mv | AT zhechen nonstationarysignalcombinedanalysisbasedfaultdiagnosismethod AT yuqihu nonstationarysignalcombinedanalysisbasedfaultdiagnosismethod AT shiqingtian nonstationarysignalcombinedanalysisbasedfaultdiagnosismethod AT huiminlu nonstationarysignalcombinedanalysisbasedfaultdiagnosismethod AT lizhongxu nonstationarysignalcombinedanalysisbasedfaultdiagnosismethod |