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Fiber optic current sensor using an internal trigger sampling technique

  • Hyoung Jun Park
  • , Chan Il Yeo
  • , Dong Hoon Son
  • , Keo Sik Kim
  • , Hyun Seo Kang
  • , Sung Chang Kim
  • , Minho Song
  • Electronics and Telecommunications Research Institute

Research output: Contribution to conferenceConference paperpeer-review

Abstract

We present an advanced demodulation technique for a fiber-optics interferometric current transducer. A quadrature sampling method with internal triggers was adopted for structural simplification and cost-effective phase demodulation. The internal triggers for quadrature signal processing were generated at zero crossing points of an ac-coupled reference signal, which was distinguished from the current-induced interference signal by utilizing fiber Bragg grating. Phase variation was extracted from the arctangent demodulation process. The proposed technique demonstrated accurate and stable phase demodulations performance and better than that of the conventional lock-in amp demodulation.

Original languageEnglish
Title of host publication25th International Conference on Optical Fiber Sensors
EditorsLibo Yuan, Youngjoo Chung, Wei Jin, Byoungho Lee, John Canning, Kentaro Nakamura
PublisherSPIE
ISBN (Electronic)9781510610910
DOIs
StatePublished - 2017
Event25th International Conference on Optical Fiber Sensors, OFS 2017 - Jeju, Korea, Republic of
Duration: 2017.04.242017.04.28

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10323
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference25th International Conference on Optical Fiber Sensors, OFS 2017
Country/TerritoryKorea, Republic of
CityJeju
Period17.04.2417.04.28

Keywords

  • Fiber optic sensor
  • Fiber-optic current transducer
  • Phase extraction
  • Quadrature signal processing

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Computer Science & Information Systems
  • Mathematics
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science
  • Physics & Astronomy

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