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Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings
Author(s): Matthias Fabian; David Hind; Chris Gerada; Tong Sun; Kenneth T. V. Grattan
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Paper Abstract

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.

Paper Details

Date Published: 23 April 2017
PDF: 4 pages
Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103231I (23 April 2017); doi: 10.1117/12.2264928
Show Author Affiliations
Matthias Fabian, City, Univ. of London (United Kingdom)
David Hind, The Univ. of Nottingham (United Kingdom)
Chris Gerada, The Univ. of Nottingham (United Kingdom)
Tong Sun, City, Univ. of London (United Kingdom)
Kenneth T. V. Grattan, City, Univ. of London (United Kingdom)


Published in SPIE Proceedings Vol. 10323:
25th International Conference on Optical Fiber Sensors
Youngjoo Chung; Wei Jin; Byoungho Lee; John Canning; Kentaro Nakamura; Libo Yuan, Editor(s)

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