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

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.

Inspec keywords: spectral analysis; fault diagnosis; fibre optic sensors; condition monitoring; vibration measurement; temperature measurement; electromagnetic interference; Bragg gratings

Other keywords: zero electromagnetic interference; industrial machines; electrical machine; long period grating; optimal detection signature; bi-signature optical spectroscopy; fibre-optic sensors; non-intrusive real-time condition monitoring; fibre Bragg gratings; temperature sensitivity; Bragg wavelength shifts; vibration sensitivity; spectral analysis; online fault detection

Subjects: Fibre optic sensors; Gratings, echelles; Other fibre optical devices and techniques; Fibre optic sensors; fibre gyros; Thermal variables measurement; Measurement of mechanical variables; Mechanical variables measurement

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http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8062
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