Evidence map›Paper›PMID 42451484›Full record

ArticleSensors (Basel, Switzerland)2026

FBG-Based Multi-Parameter Sensor for Harsh Transformer Conditions: Decoupling Packaging for Simultaneous Temperature, Pressure, and Moisture Measurement.

Debao Wang, Shangang Ma, Fubao Jin, Ruiming Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Debao WangSchool of Energy and Electrical Engineering, Qinghai University, Xining 810016, China.
Shangang MaSchool of Energy and Electrical Engineering, Qinghai University, Xining 810016, China.ORCID 0009-0004-3829-2501
Fubao JinSchool of Energy and Electrical Engineering, Qinghai University, Xining 810016, China.ORCID 0000-0003-3378-8693
Ruiming WangSchool of Energy and Electrical Engineering, Qinghai University, Xining 810016, China.

Funding

Graduate Education Comprehensive Reform and High-Quality Development Project 2025-GMKY-45Science and Technology Project of State Grid Corporation of China 522821260004State Grid Qinghai Electric Power Company Science and Technology Project 522807250008
6 · The paper itself

Abstract

The oil-immersed environment within power transformers is characterized by high temperatures, strong electric fields, and severe electromagnetic interference, posing significant challenges for simultaneous multi-parameter monitoring. Conventional electrical sensors are susceptible to electromagnetic interference, whereas typical integrated fiber Bragg grating (FBG) sensors exhibit cross-sensitivity and reliability issues under such harsh operating conditions. To address these challenges, this paper proposes an integrated FBG-based sensor. Through specialized material and structural design, each sensing element is engineered to respond predominantly to its target parameter at the physical level. This approach effectively mitigates cross-sensitivity, enabling high-precision simultaneous measurement of oil temperature, pressure, and moisture content. Under simulated transformer oil conditions, the sensor achieved a temperature sensitivity of 17.1 pm/°C, a pressure sensitivity of approximately 4 nm/MPa, and a moisture sensitivity of 7.775 × 10

Indexed as

decoupling packagingfiber bragg gratingintegrated fiber-optic sensorsensor structure designtransformer monitoring

Identifiers

PMID42451484
PMCPMC13363742

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.