D2.5 Application of Machine Learning Algorithms for the Analysis of an Optical Fiber Sensor for Use in Endovascular Coiling of Intracranial Aneurysms
- SMSI 2020
(did not take place because of Covid-19 virus pandemic)
- SMSI 2020 - Measurement Science
- D2 AI-Approaches in Measurement
- S. Shojaei Khatouni, J. Ewald, H. Trieu - Hamburg University of Technology, Hamburg (Germany)
- 273 - 274
Using a test rig, two different fiber bragg grating sensors were exposed to temperature changes, compressive loads and bendings. The light spectrum reflected by them was analyzed with respect to these three effects, utilizing machine learning algorithms. The results show that the models of the sensors are suitable for detecting and differentiating the effects of bending and temperature changes with sufficient accuracy.