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Use of optical fibres for multi-parameter monitoringin electrical AC machines

Hind, David Martin; Gerada, C.; Galea, Michael; Borg Bartalo, James; Fabian, Matthias; Sun, Tong; Grattan, Kenneth T.V.

Authors

David Martin Hind

MICHAEL GALEA Michael.Galea@nottingham.ac.uk
Professor of Electrical Machines and Drives

James Borg Bartalo

Matthias Fabian

Tong Sun

Kenneth T.V. Grattan



Abstract

This paper describes a new approach to multi-parameter monitoring for electrical AC machines. It is demonstrated that speed, torque and temperature can be measured using optical fibres incorporating sensors in the form of fibre Bragg gratings (FBGs) distributed around the machine. One fibre can incorporate several FBGs and hence provide several measurements. Experimental results showing speed, torque, direction of rotation, stator housing vibration and temperature measured using the FBG method are presented and validated against measurements obtained from conventional sensors. The results show that the optical fibre based approach allows multiple parameters to be monitored accurately and simultaneously with only a fraction of the usual monitoring equipment required. Another advantage of the proposed method is the EMI immunity naturally provided by optical solutions. The presented measurement technique can also offer a new alternative approach to sensorless control.

Citation

Hind, D. M., Gerada, C., Galea, M., Borg Bartalo, J., Fabian, M., Sun, T., & Grattan, K. T. (2017). Use of optical fibres for multi-parameter monitoringin electrical AC machines.

Conference Name IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED 2017)
Start Date Aug 30, 2017
End Date Sep 1, 2017
Acceptance Date Apr 15, 2017
Online Publication Date Oct 9, 2017
Publication Date Aug 30, 2017
Deposit Date Nov 17, 2017
Publicly Available Date Nov 17, 2017
Peer Reviewed Peer Reviewed
ISBN 9781509004096
Keywords Optical fibre; Fibre Bragg grating (FBG); Multi parameter monitoring; Health monitoring; Sensorless
Public URL https://nottingham-repository.worktribe.com/output/879492
Publisher URL http://ieeexplore.ieee.org/document/8062357/
Related Public URLs https://www.egr.msu.edu/sdemped2017/home
Additional Information © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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