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Application of Machine Learning Algorithms for the Analysis of an Optical Fiber Sensor for Use in Endovascular Coiling of Intracranial Aneurysms
Publikationstyp
Conference Paper
Date Issued
2020
Sprache
English
Author(s)
Institut
TORE-URI
Start Page
273
End Page
274
Citation
Sensor and Measurement Science International (SMSI 2020)
Contribution to Conference
Publisher DOI
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 ma-chine learning algorithms. The results show that the models of the sensors are suitable for detecting and differenti-ating the effects of bending and temperature changes with sufficient accuracy