Evidence map›Paper›PMID 39860727›Full record

ArticleSensors (Basel, Switzerland)2025

Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors.

Jinlong Wang, Weizhong Sun, Jun Zhou, Lei Wang, Lianfei Chen, Pengcheng Chen, Qichao Chen, Weichao Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jinlong WangYunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China.
Weizhong SunYunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China.
Jun ZhouYunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China.
Lei WangYunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China.
Lianfei ChenYunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China.
Pengcheng ChenYunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China.
Qichao ChenSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China.ORCID 0009-0007-6044-7743
Weichao ZhangSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses the challenges of electromagnetic interference and unstable signal transmission encountered by traditional sensors in detecting partial discharge (PD) within stator slots of large motors. A novel Extrinsic Fabry-Perot Interferometer (EFPI) sensor with a vibration-coupling air gap was designed to enhance the narrowband resonant detection sensitivity for PD ultrasonic signals by optimizing the diaphragm structure and coupling interface. The sensor features a quartz diaphragm with a thickness of 20 μM, an effective constrained radius of 0.9 mm, a vibration-coupling air gap depth of 100 μM, and a first-order natural resonant frequency of 66 kHz. Simulation and experimental analyses revealed the distribution characteristics and propagation paths of ultrasonic signals within stator slots. The results demonstrate that the EFPI sensor effectively detects PD ultrasonic signals at its resonant frequency of 66 kHz with a localization error of less than 5 mm, meeting engineering requirements. This study provides theoretical and practical insights into the efficient detection and precise localization of insulation faults in large motor stators.

Indexed as

acoustic field distributionEFPI sensorfluid–structure interactionpartial discharge ultrasonic signalsPD source localization

Identifiers

PMID39860727
PMCPMC11768640

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.