Acoustic emission source positioning research of 3D braided composite material based on the wavelet network
Vernadsky National Library of Ukraine
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network
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| Creator |
Su Hua
Zhang Tianyuan Zhang Ning |
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| Subject |
Technology
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| 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.
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| Date |
2017-06-12T14:29:39Z
2017-06-12T14:29:39Z 2016 |
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| Type |
Article
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| Identifier |
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 http://dspace.nbuv.gov.ua/handle/123456789/120633 |
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| Language |
en
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| Relation |
Functional Materials
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| Publisher |
НТК «Інститут монокристалів» НАН України
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