Sensitivity analysis of intensity-modulated plastic optical fiber sensors for effective aging detection in rapeseed transformer oil

Ugochukwu Elele, Azam Nekahi*, Arshad Arshad, Kate McAulay, Issouf Fofana

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
26 Downloads (Pure)

Abstract

As the focus tilts toward online detection methodologies for transformer oil aging, bypassing challenges associated with traditional offline methods, such as sample contamination and misinterpretation, fiber optic sensors are gaining traction due to their compact nature, cost-effectiveness, and resilience to electromagnetic disturbances that are typical in high-voltage environments. This study delves into the sensitivity analysis of intensity-modulated plastic optical fiber sensors. The investigation encompasses key determinants such as the influence of optical source wavelengths, noise response dynamics, ramifications of varying sensing lengths, and repeatability assessments. Our findings highlight that elongating sensing length detrimentally affects both linearity response and repeatability, largely attributed to a diminished resistance to noise. Additionally, the choice of the optical source wavelength proved to be a critical variable in assessing sensor sensitivity.
Original languageEnglish
Article number9796
Number of pages16
JournalSensors
Volume23
Issue number24
Early online date13 Dec 2023
DOIs
Publication statusPublished - Dec 2023

Keywords

  • degradation
  • evanescent field
  • online
  • refractive index
  • transformer oil

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Sensitivity analysis of intensity-modulated plastic optical fiber sensors for effective aging detection in rapeseed transformer oil'. Together they form a unique fingerprint.

Cite this