Paper
23 April 2017 Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings
Matthias Fabian, David Hind, Chris Gerada, Tong Sun, Kenneth T. V. Grattan
Author Affiliations +
Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103231I (2017) https://doi.org/10.1117/12.2264928
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of
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.
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Matthias Fabian, David Hind, Chris Gerada, Tong Sun, and Kenneth T. V. Grattan "Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103231I (23 April 2017); https://doi.org/10.1117/12.2264928
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KEYWORDS
Fiber Bragg gratings

Sensors

Sensing systems

Phase shifts

Profiling

Prototyping

Reliability

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