A2.4 - Deep Learning-Assisted Optimal Sensor Placement in Ultrasound NDT
- Event
- SMSI 2023
2023-05-08 - 2023-05-11
Nürnberg - Band
- Lectures
- Chapter
- A2 - Sensor Systems for nondestructive Evaluation of Materials
- Author(s)
- H. Wang, E. Pérez, F. Römer - Fraunhofer IZFP, Saarbrücken (Germany)
- Pages
- 43 - 44
- DOI
- 10.5162/SMSI2023/A2.4
- ISBN
- 978-3-9819376-8-8
- Price
- free
Abstract
In this work we employ model-based deep learning to optimally select the sensing locations of single-channel synthetic aperture measurements in ultrasound nondestructive testing. We use the Fisher in-formation as an optimization target to obtain task-agnostic selection matrices. We then link this result to prior findings on the behavior of the Fisher information matrix.