Evidence map›Paper›PMID 41526430›Full record

ArticleScientific reports2026

Development and practical application of condition monitoring system for ultra-high voltage electrical equipment.

Shuxin Hu, Ming Meng

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Shuxin HuDepartment of Electrical Engineering, North China Electric Power University, Baoding, 071051, China.
Ming MengDepartment of Electrical Engineering, North China Electric Power University, Baoding, 071051, China. agsok4@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrical equipment serves as mission-critical infrastructure in power systems. Operational status monitoring is fundamental to load demand fulfillment. This study employs intelligent methodologies to establish an ultra-high voltage equipment condition monitoring system for real-time operational status surveillance, enabling timely fault diagnosis and early warning through automated analysis of equipment status changes. Key metrics: GIS SF6 gas density achieves 6.452 kg/m³ under ambient cooling conditions; SF6 gas pressure reaches 0.960 MPa during switching operations; SF6 gas temperature declines to -28.491℃ under high-frequency switching cycles; Surge arrester leakage current exhibits non-monotonic behavior with voltage escalation, with peak magnitude observed at 95.591 mA; Under full load, the GIS three-phase voltage reaches 239.958 V. The three-phase current exhibits an overall downward trend, dropping to 2.519 A under heavy load. Active power peaks at 3,472.504 W under medium load, while reactive power reaches 1,078.828 var under heavy load. Apparent power attains 4,431.743 VA under heavy load. The power factor initially decreases, then rises, achieving 0.904 at full load. The successful development of this system provides valuable insights for enhancing equipment reliability, improving monitoring efficiency, and reducing operational costs.

Indexed as

Condition monitoringInfrared monitoringSF6 gasSurge arresterUltra-high voltage electrical equipment

Identifiers

PMID41526430
PMCPMC12834983

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.