Publisher DOI: 10.5162/SMSI2020/D2.5
Title: Application of Machine Learning Algorithms for the Analysis of an Optical Fiber Sensor for Use in Endovascular Coiling of Intracranial Aneurysms
Language: English
Authors: Shojaei Khatouni, Sohrab 
Ewald, J. C. E. 
Trieu, Hoc Khiem 
Issue Date: 2020
Source: Sensor and Measurement Science International (SMSI 2020)
Abstract (english): 
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
Conference: Sensor and Measurement Science International, SMSI 2020 
URI: http://hdl.handle.net/11420/8897
ISBN: 978-3-9819376-2-6
Institute: Mikrosystemtechnik E-7 
Document Type: Chapter/Article (Proceedings)
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