Application of Machine Learning Algorithms for the Analysis of an Optical Fiber Sensor for Use in Endovascular Coiling of Intracranial Aneurysms

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Autor/in:
Verlag/Körperschaft:
Hamburg University of Technology
Erscheinungsjahr:
2020
Medientyp:
Text
Beschreibung:
  • 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
Beziehungen:
DOI 10.5162/SMSI2020/D2.5
Quellsystem:
TUHH Open Research

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oai:tore.tuhh.de:11420/8897