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A hybrid fiber-optic sensor system for condition monitoring of large scale wind turbine blades

  • Dae Gil Kim
  • , Hyunjin Kim
  • , Umesh Sampath
  • , Minho Song*
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

A hybrid fiber-optic sensor system which combines fiber Bragg grating (FBG) sensors and a Michelson interferometer is suggested for condition monitoring uses of large scale wind turbine blades. The system uses single broadband light source to address both sensors, which simplifies the optical setup and enhances the cost-effectiveness of condition monitoring system. An athermal-packaged FBG is used to supply quasi-coherent light for the Michelson interferometer demodulation. For the feasibility test, different profiles of test strain, temperature and vibration have been applied to test structures, and successfully reconstructed with the proposed sensor system.

Original languageEnglish
Title of host publicationFifth Asia-Pacific Optical Sensors Conference, APOS 2015
EditorsByoungho Lee, Yunjiang Rao, Sang Bae Lee
PublisherSPIE
ISBN (Electronic)9781628418651
DOIs
StatePublished - 2015
Event5th Asia-Pacific Optical Sensors Conference, APOS 2015 - Jeju, Korea, Republic of
Duration: 2015.05.202015.05.22

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9655
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th Asia-Pacific Optical Sensors Conference, APOS 2015
Country/TerritoryKorea, Republic of
CityJeju
Period15.05.2015.05.22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Condition monitoring
  • Fiber Bragg grating
  • Fiber-optic sensor
  • Michelson interferometer
  • Wind turbine

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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