A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring
| Auteur(s): |
Laurence Clarkson
(Non-Destructive Evaluation Group, Department of Mechanical Engineering, Imperial College London, London, UK)
Yifeng Zhang
(Non-Destructive Evaluation Group, Department of Mechanical Engineering, Imperial College London, London, UK)
Frederic Cegla (Non-Destructive Evaluation Group, Department of Mechanical Engineering, Imperial College London, London, UK) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, septembre 2023, n. 3, v. 23 |
| Page(s): | 1560-1577 |
| DOI: | 10.1177/14759217231190041 |
- Informations
sur cette fiche - Reference-ID
10739210 - Publié(e) le:
03.09.2023 - Modifié(e) le:
25.04.2024
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