Detail publikace

Event classification from distributed interferometric sensor using neural network

TOMAŠOV, A. DEJDAR, P. CEM, A. MÜNSTER, P. HORVÁTH, T.

Originální název

Event classification from distributed interferometric sensor using neural network

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper presents a combination of a distributed sensor based on a Mach-Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99% accuracy in classification into 7 categories.

Klíčová slova

Fabry Perot interferometers; Fiber optic sensors; Mach Zehnder interferometers; Michelson interferometers; Neural networks; Sagnac interferometry

Autoři

TOMAŠOV, A.; DEJDAR, P.; CEM, A.; MÜNSTER, P.; HORVÁTH, T.

Vydáno

29. 10. 2022

Nakladatel

Optica Publishing Group

Místo

Alexandria, Virginia United States

ISBN

978-1-957171-14-2

Kniha

27th International Conference on Optical Fiber Sensors

Strany počet

4

URL

https://opg.optica.org/abstract.cfm?uri=OFS-2022-Th4.58

BibTex

@inproceedings{BUT179736,
  author="Adrián {Tomašov} and Petr {Dejdar} and Ali {Cem} and Petr {Münster} and Tomáš {Horváth}",
  title="Event classification from distributed interferometric sensor using neural network",
  booktitle="27th International Conference on Optical Fiber Sensors",
  year="2022",
  pages="4",
  publisher="Optica Publishing Group",
  address="Alexandria, Virginia United States",
  isbn="978-1-957171-14-2",
  url="https://opg.optica.org/abstract.cfm?uri=OFS-2022-Th4.58"
}