Acoustic emission source positioning research of 3D braided composite material based on the wavelet network
The acoustic emission detection technology is used to position the acoustic emission source of 3D braided composite material. Through comprehensive utilization of the characteristic parameters of acoustic emission signals, the wavelet neural network (WNN) is used to conduct damage positioning and co...
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| Опубліковано в: : | Functional Materials |
|---|---|
| Дата: | 2016 |
| Автори: | , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
НТК «Інститут монокристалів» НАН України
2016
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| Онлайн доступ: | https://nasplib.isofts.kiev.ua/handle/123456789/120633 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Acoustic emission source positioning research of 3D braided composite material based on the wavelet network / Su Hua, Zhang Tianyuan, Zhang Ning // Functional Materials. — 2016. — Т. 23, № 2. — С. 331-336. — Бібліогр.: 8 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
nasplib_isofts_kiev_ua-123456789-120633 |
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dspace |
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Su Hua Zhang Tianyuan Zhang Ning 2017-06-12T14:29:39Z 2017-06-12T14:29:39Z 2016 Acoustic emission source positioning research of 3D braided composite material based on the wavelet network / Su Hua, Zhang Tianyuan, Zhang Ning // Functional Materials. — 2016. — Т. 23, № 2. — С. 331-336. — Бібліогр.: 8 назв. — англ. 1027-5495 DOI: dx.doi.org/10.15407/fm23.02.331 https://nasplib.isofts.kiev.ua/handle/123456789/120633 The acoustic emission detection technology is used to position the acoustic emission source of 3D braided composite material. Through comprehensive utilization of the characteristic parameters of acoustic emission signals, the wavelet neural network (WNN) is used to conduct damage positioning and computation, and by combining the shuffled frog leaping algorithm (SFLA), it can improve the convergence performance. Through experiment comparison with traditional positioning computation method, after optimization with the frog leaping algorithm, the wavelet network acoustic emission source positioning method can effectively improve the precision of damage positioning. en НТК «Інститут монокристалів» НАН України Functional Materials Technology Acoustic emission source positioning research of 3D braided composite material based on the wavelet network Article published earlier |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| title |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network |
| spellingShingle |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network Su Hua Zhang Tianyuan Zhang Ning Technology |
| title_short |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network |
| title_full |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network |
| title_fullStr |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network |
| title_full_unstemmed |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network |
| title_sort |
acoustic emission source positioning research of 3d braided composite material based on the wavelet network |
| author |
Su Hua Zhang Tianyuan Zhang Ning |
| author_facet |
Su Hua Zhang Tianyuan Zhang Ning |
| topic |
Technology |
| topic_facet |
Technology |
| publishDate |
2016 |
| language |
English |
| container_title |
Functional Materials |
| publisher |
НТК «Інститут монокристалів» НАН України |
| format |
Article |
| description |
The acoustic emission detection technology is used to position the acoustic emission source of 3D braided composite material. Through comprehensive utilization of the characteristic parameters of acoustic emission signals, the wavelet neural network (WNN) is used to conduct damage positioning and computation, and by combining the shuffled frog leaping algorithm (SFLA), it can improve the convergence performance. Through experiment comparison with traditional positioning computation method, after optimization with the frog leaping algorithm, the wavelet network acoustic emission source positioning method can effectively improve the precision of damage positioning.
|
| issn |
1027-5495 |
| url |
https://nasplib.isofts.kiev.ua/handle/123456789/120633 |
| citation_txt |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network / Su Hua, Zhang Tianyuan, Zhang Ning // Functional Materials. — 2016. — Т. 23, № 2. — С. 331-336. — Бібліогр.: 8 назв. — англ. |
| work_keys_str_mv |
AT suhua acousticemissionsourcepositioningresearchof3dbraidedcompositematerialbasedonthewaveletnetwork AT zhangtianyuan acousticemissionsourcepositioningresearchof3dbraidedcompositematerialbasedonthewaveletnetwork AT zhangning acousticemissionsourcepositioningresearchof3dbraidedcompositematerialbasedonthewaveletnetwork |
| first_indexed |
2025-12-07T18:41:48Z |
| last_indexed |
2025-12-07T18:41:48Z |
| _version_ |
1850876004892934144 |