Publication detail

Event classification from distributed interferometric sensor using neural network

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

Original Title

Event classification from distributed interferometric sensor using neural network

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

29. 10. 2022

Publisher

Optica Publishing Group

Location

Alexandria, Virginia United States

ISBN

978-1-957171-14-2

Book

27th International Conference on Optical Fiber Sensors

Pages count

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"
}