Bi-Signature optical spectroscopy for online fault detection in electrical machines

Alalibo, Belema P., Cao, Wenping and Liu, Zheng (2019). Bi-Signature optical spectroscopy for online fault detection in electrical machines. The Journal of Engineering, 2019 (17), pp. 3634-3638.

Abstract

A novel bi-signature optical spectroscopy for fault detection in electrical machines is presented. The combined use of long period grating (LPG) and two fibre Bragg gratings (FBG1 and FBG2) is implemented to discriminate between vibration and temperature sensitivity in the detection of machine faults. With LPG having higher sensitivity to temperature compared to both FBGs, machine faults are detected through spectral analysis of both signatures; and the optimal detection signature for each fault is consequently analysed. This novel technique utilises the principle of a shift in the wavelengths of the gratings to determine the kind of fault present in an electrical machine as the signature spectroscopy reveals varying amount of Bragg wavelength shifts for various fault types. The use of FBG sensing for fault detection in electrical machines has the potential of revolutionising non-intrusive real-time condition monitoring of future industrial machines with high reliability due to zero electromagnetic interference (EMI) as well as significant low cost of fibre-optic sensors.

Publication DOI: https://doi.org/10.1049/joe.2018.8062
Divisions: Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences > Power Electronics, Machines and Power System (PEMPS)
Engineering & Applied Sciences
Additional Information: This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Full Text Link:
Related URLs: https://digital ... 9/joe.2018.8062 (Publisher URL)
Published Date: 2019-06-17
Authors: Alalibo, Belema P.
Cao, Wenping ( 0000-0002-8133-3020)
Liu, Zheng

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