S-taper Fiber Based Moisture Sensing in Power Transformer Oil

Jiang, Jun, Wu, Ruihan, Liu, Jinfeng, Wu, Xuerui, Wu, Qiang, Ranjan, Prem, Zhang, Xiaoqin and Liu, Jun (2023) S-taper Fiber Based Moisture Sensing in Power Transformer Oil. IEEE Transactions on Instrumentation and Measurement, 72. pp. 1-8. ISSN 0018-9456

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Official URL: https://doi.org/10.1109/tim.2023.3246474


A moisture sensing technique for real-time monitoring of the moisture content in transformer oil based on an S-taper fiber structure, is proposed and experimentally demonstrated, with the advantages of high sensitivity, excellent repeatability, simple fabrication, compact structure and resistance to ambient temperature variation. By analyzing the physical model of the S-taper fiber, the quantitative relationship between the wavelength change of the transmission dip in the transmission spectrum of the S-taper fiber and the moisture content is established. Then the S-taper fibers with different structural parameters, such as the waist diameter and the axial offset, were fabricated in the lab, and actual measurements in transformer oil samples with different moisture content are carried out. The results show that the transmission dip experiences a red-shifts with decreasing moisture, which could be used to correlate/trace moisture content. It is demonstrated that the S-taper fiber achieves higher detection sensitivity with a decreasing waist diameter or increasing axial offset. For the S-taper fiber with a waist diameter of 50 μm and an axial offset of 110 μm, the sensitivity and the lower detection limit reach up to 0.48 nm/ppm and 2.19 ppm, respectively. Therefore, the S-taper fiber sensor could effectively in-situ monitor the moisture content in the transformer oil in real-time, which helps to detect the insulation damp problem in the early stage of the transformer in time and ensure its long-term safe operation.

Item Type: Article
Additional Information: Funding information: 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 52177150) 10.13039/501100002858-China Postdoctoral Science Foundation (Grant Number: 2022M720977) Zhejiang Planned Projects for Postdoctoral Research Funds (Grant Number: ZJ2022114)
Uncontrolled Keywords: Electrical and Electronic Engineering, Instrumentation
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 01 Mar 2023 15:49
Last Modified: 05 Apr 2023 13:00
URI: https://nrl.northumbria.ac.uk/id/eprint/51534

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