Fibre Bragg Grating sensing based temperature monitoring system of power transformer

Fibre Bragg Grating sensing based temperature monitoring system of power transformer

Wei Wei Hongzheng Mei Peng Xue 

Changchun University of Technology, Changchun 130012, China

Corresponding Author Email: 
weiwei@mail.ccut.edu.cn
Page: 
877-882
|
DOI: 
https://doi.org/10.18280/ijht.360314
Received: 
17 January 2018
| |
Accepted: 
25 May 2018
| | Citation

OPEN ACCESS

Abstract: 

In an electric power system, the upgrading of the power transformer level and capacity leads to the increase of failure rate and repair time. As a result, the transformer winding temperature is monitored in real-time to give early warning so that effective measures can be carried out to reduce the occurrence of incidents. The internal environment of a transformer is characterized by high voltage, strong electromagnetic interference, narrow space, and strong corrosion, etc. How to detect the transformer state in a stable, accurate and quick manner and precisely predict failures has become the critical technical difficulty requiring urgent solution. Therefore, researchers have been working on the application of sensing technologies in the health monitoring of large-sized equipment. The Fiber Bragg Grating (FBG) sensing technology is a rising interdisciplinary high-tech application. Compared with traditional sensors, a FBG sensor has such advantages as small volume, light weight, implantable structure, no electromagnetic interference and reusability, making it one of the core sensing elements widely applied in the field of equipment health monitoring. Being suitable for long-term monitoring in a severe environment, it is now a great substitute for electric sensors.

Keywords: 

Fibre Bragg Grating sensor, power transformer, monitoring system, GaAs material

1. Introduction
2. Overall Design of the FBG Temperature Monitoring System
3. Selection of System Components
4. Performance Testing of the FBG Temperature Monitoring System
5. Test Method and Procedures
6. Conclusion
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