Optical fibre sensing: A solution for industry

T. Sun, M. Fabian, Y. Chen, M. Vidakovic, S. Javdani, K. T.V. Grattan, J. Carlton, C. Gerada, L. Brun

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


Optical fibres have been explored widely for their sensing capability to meet increasing industrial needs, building on their success in telecommunications. This paper provides a review of research activities at City University of London in response to industrial challenges through the development of a range of fibre Bragg grating (FBG)-based sensors for transportation structural monitoring. For marine propellers, arrays of FBGs mapped onto the surface of propeller blades allow for capturing vibrational modes, with reference to simulation data. The research funded by EU Cleansky programme enables the development of self-sensing electric motor drives to support 'More Electric Aircraft' concept. The partnership with Faiveley Brecknell Willis in the UK enables the integration of FBG sensors into the railway current-collecting pantographs for real-time condition monitoring when they are operating under 25kV conditions.

Original languageEnglish
Title of host publication25th International Conference on Optical Fiber Sensors
EditorsLibo Yuan, Youngjoo Chung, Wei Jin, Byoungho Lee, John Canning, Kentaro Nakamura
ISBN (Electronic)9781510610910
Publication statusPublished - 2017
Event25th International Conference on Optical Fiber Sensors, OFS 2017 - Jeju, Korea, Republic of
Duration: 24 Apr 201728 Apr 2017

Publication series

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


Conference25th International Conference on Optical Fiber Sensors, OFS 2017
Country/TerritoryKorea, Republic of


  • Electric motor
  • FBG sensors
  • Marine propeller
  • Pantograph

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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