Presentation + Paper
12 April 2021 Low-cost optical fiber based temperature sensor for real-time health monitoring of power transformers
Author Affiliations +
Abstract
Reliable, secure, and resilient electricity distribution requires continuous health monitoring of electrical assets including power transformers. Among all sensing parameters, temperature is of utmost importance. Using optical fiber sensors for temperature monitoring has various advantages over traditional methods as they are inherently immune to electromagnetic interference, are good insulators at high-voltage levels, and are easy to install due to their small size and flexibility. Measuring the temperature of different parts of a power transformer core can help to detect hotspots and predict imminent device health issues. In this paper, a low-cost temperature sensor based on plasmonic-enabled optical fiber is demonstrated in multiple arrangements. The simplest arrangement would cost ~ $100 with potential for further cost reductions through reductions in the cost of the detection and excitation circuitry and optical components. By functionalizing an optical fiber with Au-Silica thin-films, the sensor was also demonstrated to measure the temperature of an energized transformer core in real-time. Repeatability and reliability of the proposed sensor were confirmed by running multiple cycles.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mudabbir Badar, Yang-Duan Su, Fei Lu, Ping Lu, Michael Buric, and Paul Ohodnicki "Low-cost optical fiber based temperature sensor for real-time health monitoring of power transformers", Proc. SPIE 11739, Fiber Optic Sensors and Applications XVII, 117390F (12 April 2021); https://doi.org/10.1117/12.2587114
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Transformers

Optical fibers

Temperature sensors

Fiber optics sensors

Thermal modeling

Finite element methods

Magnetism

Back to Top