Evidence map›Paper›PMID 42579656›Full record

ArticlePloS one2026

Distributed optical fiber sensing for metal particle defect detection in GIS via frequency-swept interferometry.

Xu Zhixin, Zhao Xincheng, Li Chaohui, Su Honghui, Xie Peng, Yang Liusong

Abstract read
In one paragraph

Article in PloS one, 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

6 authors.

Xu ZhixinUltra-High Voltage Branch, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.ORCID https://orcid.org/0009-0000-0148-2476
Zhao XinchengUltra-High Voltage Branch, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.
Li ChaohuiUltra-High Voltage Branch, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.
Su HonghuiUltra-High Voltage Branch, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.
Xie PengUltra-High Voltage Branch, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.
Yang LiusongUltra-High Voltage Branch, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional detection of metal particle defects in gas-insulated switchgear (GIS) mainly relies on piezoelectric (PZT) sensors, which are inadequate for distributed monitoring in modern power equipment. Although interferometric optical fiber sensors offer high sensitivity for GIS partial discharge detection, they are generally limited to single-point measurements. To address this issue, this study proposes a multiplexing method for optical fiber acoustic emission sensors based on optical frequency-scanning in a Michelson interferometric configuration. By introducing high-frequency carriers through optical frequency modulation and separating channels via bandpass filtering, the proposed method preserves the high sensitivity of conventional single-point interferometric sensors and extends it to multiplexed sensing, enabling frequency-division multiplexing of multiple sensors using a single demodulation system. Experiments on a 126 kV GIS with four sensing units demonstrate that the proposed system can effectively detect discharge signals and identify the defective cavity. This work provides a promising approach for distributed GIS condition monitoring.

Indexed as

InterferometryMetalsOptical FibersMetals

Identifiers

PMID42579656
PMCPMC13460573

What OpenQuestion holds

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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.