Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings

Matthias Fabian, David Hind, Chris Gerada, Tong Sun, Kenneth T.V. Grattan

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

4 Citations (Scopus)


In this paper a sensor system for multi-parameter electrical machine condition monitoring is reported. The proposed FBG-based system allows for the simultaneous monitoring of machine vibration, rotor speed and position, torque, spinning direction, temperature distribution along the stator windings and on the rotor surface as well as the stator wave frequency. This all-optical sensing solution reduces the component count of conventional sensor systems, i.e., all 48 sensing elements are contained within the machine operated by a single sensing interrogation unit. In this work, the sensing system has been successfully integrated into and tested on a permanent magnet motor prototype.

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


  • Fibre Bragg gratings
  • Multi-parameter monitoring
  • Rotor speed
  • Temperature profiling
  • Torque
  • Vibration

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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