Szczegóły publikacji
Opis bibliograficzny
Data processing scheme for laser spot thermography applied for nondestructive testing of composite laminates / Jakub ROEMER, Hassan Khawaja, Mojtaba Moatamedi, Łukasz PIECZONKA // Journal of Nondestructive Evaluation ; ISSN 0195-9298. — 2023 — vol. 42 iss. 1 art. no. 21, s. 1–12. — Bibliogr. s. 12, Abstr. — Publikacja dostępna online od: 2023-02-08. — J. Roemer - dod. afiliacja: OsloMet Oslo Metropolitan University, Oslo, Norway
Autorzy (4)
- AGHRoemer Jakub Jan
- Khawaja Hassan
- Moatamedi Mojtaba
- AGHPieczonka Łukasz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 145206 |
|---|---|
| Data dodania do BaDAP | 2023-02-10 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s10921-023-00932-2 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Nondestructive Evaluation |
Abstract
This paper proposes a data processing scheme for laser spot thermography (LST) applied for nondestructive testing (NDT) of composite laminates. The LST involves recording multiple thermographic sequences, resulting in large amounts of data that have to be processed cumulatively to evaluate the diagnostic information. This paper demonstrates a new data processing scheme based on parameterization and machine learning. The approach allows to overcome some of the major difficulties in LST signal processing and deliver valuable diagnostic information. The effectiveness of the proposed approach is demonstrated on an experimental dataset acquired for a laminated composite sample with multiple simulated delaminations. The paper discusses the theoretical aspects of the proposed signal processing and inference algorithms as well as the experimental arrangements necessary to collect the input data.