Evidence map›Paper›PMID 38139642›Full record

ArticleSensors (Basel, Switzerland)2023

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ugochukwu EleleSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 OBA, UK.ORCID 0000-0002-1154-3479
Azam NekahiSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 OBA, UK.
Arshad ArshadSchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 OBA, UK.ORCID 0000-0001-8621-2773
Kate McAulaySchool of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 OBA, UK.
Issouf FofanaDepartment of Applied Sciences, Université du Québec à Chicoutimi, Saguenay, QC G7H 2B1, Canada.ORCID 0000-0001-7141-9173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

degradationevanescent fieldonlinerefractive indextransformer oil

Identifiers

PMID38139642
PMCPMC10748025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.