Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings
Fabian, M., Hind, D., Gerada, C. , Sun, T. & Grattan, K. T. V. (2017). Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings. Proceedings of SPIE - The International Society for Optical Engineering, 10323, article number 1032311. doi: 10.1117/12.2264928
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.
Publication Type: | Article |
---|---|
Additional Information: | Fabian, M., Hind, D., Gerada, C., Sun, T. & Grattan, K. T. V. Multi-parameter monitoring of electrical machines using integrated fibre Bragg gratings. Proceedings of SPIE - The International Society for Optical Engineering, 10323, 103231I, (2017). Copyright SPIE (2017) Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.2264928 |
Publisher Keywords: | Fibre Bragg gratings, multi-parameter monitoring, temperature profiling, torque, rotor speed, vibration |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Departments: | School of Science & Technology > Engineering |
SWORD Depositor: |
Download (377kB) | Preview
Export
Downloads
Downloads per month over past year