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Deep learning 기법을 적용한 탄소섬유 보강 복합재료의 전극 감응 형 네트워크 기반 비 파괴 손상감지에 관한 연구
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 유명현 | - |
| dc.contributor.author | 주성준 | - |
| dc.contributor.author | 김학성 | - |
| dc.date.accessioned | 2021-08-02T11:52:56Z | - |
| dc.date.available | 2021-08-02T11:52:56Z | - |
| dc.date.created | 2021-05-14 | - |
| dc.date.issued | 2019-04 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/14202 | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국복합재료학회 | - |
| dc.title | Deep learning 기법을 적용한 탄소섬유 보강 복합재료의 전극 감응 형 네트워크 기반 비 파괴 손상감지에 관한 연구 | - |
| dc.title.alternative | An investigation about damage sensing of carbon fiber reinforced composite using addressable conducting network via deep learning method | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 김학성 | - |
| dc.identifier.bibliographicCitation | 2019 한국복합재료학회 춘계학술대회, pp.153 - 153 | - |
| dc.relation.isPartOf | 2019 한국복합재료학회 춘계학술대회 | - |
| dc.citation.title | 2019 한국복합재료학회 춘계학술대회 | - |
| dc.citation.startPage | 153 | - |
| dc.citation.endPage | 153 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Proceeding | - |
| dc.description.journalClass | 3 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.subject.keywordAuthor | Damage sensing | - |
| dc.subject.keywordAuthor | Addressable conducting network | - |
| dc.subject.keywordAuthor | Deep learning | - |
| dc.identifier.url | http://plan.medone.co.kr/113_kscm/data/2019_spring_abst.pdf | - |
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Related Researcher
- Kim, Hak Sung
- COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)