A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, September 2023, n. 3, v. 23 |
| Page(s): | 1560-1577 |
| DOI: | 10.1177/14759217231190041 |
- About this
data sheet - Reference-ID
10739210 - Published on:
03/09/2023 - Last updated on:
25/04/2024
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